C3.ai, Inc. (AI - Free Report) has recently been on Zacks.com's list of the most searched stocks. Therefore, you might want to consider some of the key factors that could influence the stock's performance in the near future.
Shares of this company have returned -6.9% over the past month versus the Zacks S&P 500 composite's +0.6% change. The Zacks Computers - IT Services industry, to which C3.ai belongs, has lost 0.9% over this period. Now the key question is: Where could the stock be headed in the near term?
While media releases or rumors about a substantial change in a company's business prospects usually make its stock 'trending' and lead to an immediate price change, there are always some fundamental facts that eventually dominate the buy-and-hold decision-making.
Revisions to Earnings EstimatesRather than focusing on anything else, we at Zacks prioritize evaluating the change in a company's earnings projection. This is because we believe the fair value for its stock is determined by the present value of its future stream of earnings.
We essentially look at how sell-side analysts covering the stock are revising their earnings estimates to reflect the impact of the latest business trends. And if earnings estimates go up for a company, the fair value for its stock goes up. A higher fair value than the current market price drives investors' interest in buying the stock, leading to its price moving higher. This is why empirical research shows a strong correlation between trends in earnings estimate revisions and near-term stock price movements.
For the current quarter, C3.ai is expected to post a loss of $0.26 per share, indicating a change of +29.7% from the year-ago quarter. The Zacks Consensus Estimate remained unchanged over the last 30 days.
For the current fiscal year, the consensus earnings estimate of -$0.82 points to a change of +39.3% from the prior year. Over the last 30 days, this estimate has remained unchanged.
For the next fiscal year, the consensus earnings estimate of $0.5 indicates a change of +39.8% from what C3.ai is expected to report a year ago. Over the past month, the estimate has remained unchanged.
Having a strong externally audited track record, our proprietary stock rating tool, the Zacks Rank, offers a more conclusive picture of a stock's price direction in the near term, since it effectively harnesses the power of earnings estimate revisions. Due to the size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, C3.ai is rated Zacks Rank #3 (Hold).
The chart below shows the evolution of the company's forward 12-month consensus EPS estimate:
12 Month EPS
Projected Revenue GrowthWhile earnings growth is arguably the most superior indicator of a company's financial health, nothing happens as such if a business isn't able to grow its revenues. After all, it's nearly impossible for a company to increase its earnings for an extended period without increasing its revenues. So, it's important to know a company's potential revenue growth.
For C3.ai, the consensus sales estimate for the current quarter of $51.46 million indicates a year-over-year change of -26.8%. For the current and next fiscal years, $221.58 million and $240.78 million estimates indicate -11.5% and +8.7% changes, respectively.
Last Reported Results and Surprise HistoryC3.ai reported revenues of $51.6 million in the last reported quarter, representing a year-over-year change of -52.5%. EPS of -$0.33 for the same period compares with -$0.16 a year ago.
Compared to the Zacks Consensus Estimate of $49.75 million, the reported revenues represent a surprise of +3.72%. The EPS surprise was +13.16%.
Over the last four quarters, C3.ai surpassed consensus EPS estimates three times. The company topped consensus revenue estimates two times over this period.
ValuationNo investment decision can be efficient without considering a stock's valuation. Whether a stock's current price rightly reflects the intrinsic value of the underlying business and the company's growth prospects is an essential determinant of its future price performance.
While comparing the current values of a company's valuation multiples, such as price-to-earnings (P/E), price-to-sales (P/S), and price-to-cash flow (P/CF), with its own historical values helps determine whether its stock is fairly valued, overvalued, or undervalued, comparing the company relative to its peers on these parameters gives a good sense of the reasonability of the stock's price.
The Zacks Value Style Score (part of the Zacks Style Scores system), which pays close attention to both traditional and unconventional valuation metrics to grade stocks from A to F (an A is better than a B; a B is better than a C; and so on), is pretty helpful in identifying whether a stock is overvalued, rightly valued, or temporarily undervalued.
C3.ai is graded F on this front, indicating that it is trading at a premium to its peers. Click here to see the values of some of the valuation metrics that have driven this grade.
Bottom LineThe facts discussed here and much other information on Zacks.com might help determine whether or not it's worthwhile paying attention to the market buzz about C3.ai. However, its Zacks Rank #3 does suggest that it may perform in line with the broader market in the near term.
LOS ANGELES--(BUSINESS WIRE)---- $ai #AI--Arcadia Capital announced today the appointment of Jon Wesner as a Managing Director. Jon joins the firm's senior advisory team, expanding Arcadia Capital's coverage of tech and tech services companies and investors, driving global M&A and growth capital dealmaking globally. Based in Los Angeles, Jon will lead the firm's efforts across digital media, entertainment tech and related ecosystems. Jon joins Arcadia Capital with more than 15 years of experience in st.
Analyst’s Disclosure: I/we have no stock, option or similar derivative position in any of the companies mentioned, but may initiate a beneficial Long position through a purchase of the stock, or the purchase of call options or similar derivatives in AI over the next 72 hours. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.
Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.
Thomas M. Siebel, CEO and Chairman of the Board at C3.ai, Inc. (AI 0.95%), disclosed a sale of 462,565 shares of Class A Common Stock on July 14 and July 15, 2026. SEC Form 4 filing
Transaction summaryMetricValueShares sold (directly held)462,565Transaction value$4.2 millionPost-transaction shares (directly held)722,362Post-transaction shares (indirectly held)~1.5 millionPost-transaction value~$20.3 millionTransaction value based on SEC Form 4 weighted average sale price ($9.18); post-transaction value based on July 15, 2026 market close ($9.14).
Key questionsWhat was the structure of the derivative exercise?
Siebel exercised 462,565 options at a strike price of $3.90 per share and immediately sold the resulting Class A Common Stock at a weighted average price of $9.18 per share. The exercise and subsequent sales were split across two trading days, July 14 and July 15, 2026, and the executive still holds ~2.9 million derivative securities directly.How are the remaining indirect holdings distributed?
Following this transaction, Siebel maintains indirect control over ~1.5 million shares held through four distinct entities: The Siebel 2011 Irrevocable Children's Trust (~1.2 million shares), Siebel Asset Management (170,294 shares), Siebel Asset Management III (72,695 shares), and First Virtual Holdings (9,216 shares).What is the context of the stock's recent performance?
The transaction occurred after a period of significant volatility, with the stock recording a -66% one-year total return as of the July 15, 2026 market close. Despite this performance, the CEO realized a spread of $5.28 per share over the option exercise price.Does the executive maintain a significant stake in the company?
While the sale represented 17% of his total equity holdings, Siebel remains a substantial shareholder with 2,216,684 total beneficial shares, including both direct and indirect interests, representing an approximate 1% ownership stake in the firm.Company OverviewMetricValueShare Price (as of market close 2026-07-15)$9.14Market Capitalization$1.4 billionRevenue (TTM)$250.3 millionNet Income (TTM)-$470.4 millionCompany SnapshotC3.ai provides enterprise artificial intelligence software solutions, with core offerings including the C3 AI Application Platform for developing and deploying enterprise-scale AI applications, complemented by specialized tools such as C3 AI Ex Machina for data preparation and C3 AI CRM for customer relationship management.The company generates revenue through a software-as-a-service (SaaS) model, licensing its AI platform and specialized applications to enterprise customers on a subscription basis, enabling organizations to build and operationalize AI solutions at scale.C3.ai serves a global clientele across North America, Europe, the Middle East, Africa, and the Asia Pacific region, targeting large enterprises and organizations seeking to implement artificial intelligence capabilities across their operations.C3.ai operates as a leading provider of enterprise AI software solutions with a market capitalization of $1.4 billion. The company has established a global presence across multiple regions and maintains a workforce of 764 employees focused on delivering AI application platforms and related tools. C3.ai's competitive positioning centers on its comprehensive AI application platform designed to accelerate enterprise AI adoption and deployment at scale.
What this transaction means for investorsThe July 14 and July 15 sale of company stock by C3.ai’s CEO Thomas Siebel came at a time when shares had plunged substantially from their 52-week high of $30.11 reached in July of 2025. However, these dispositions were non-discretionary transactions as part of a pre-scheduled Rule 10b5-1 trading plan, adopted in September of 2024. Such plans are often implemented by insiders to avoid accusations of trading based on non-public information.
These transactions involved the exercise and immediate sale of 462,565 stock options, a tactic typical of company executives. Moreover, post-sale, Siebel maintained a sizable equity stake in C3.ai with millions of shares held directly and indirectly, along with nearly three million stock options. This indicates his interests remain aligned with shareholders.
C3.ai stock is down because its revenue fell after Siebel resigned from the CEO position due to health issues. The company announced his return in June. In its 2026 fiscal year ended April 30, C3.ai posted sales of $250.3 million, a big drop from the prior year’s $389.1 million. Perhaps Siebel resuming the CEO role will help the company rebound.
C3.ai, Inc. (AI - Free Report) ended the recent trading session at $8.91, demonstrating a -2.52% change from the preceding day's closing price. The stock's change was less than the S&P 500's daily loss of 0.51%. On the other hand, the Dow registered a loss of 0.2%, and the technology-centric Nasdaq decreased by 1.47%.
The company's shares have seen a decrease of 11.18% over the last month, not keeping up with the Computer and Technology sector's loss of 2.99% and the S&P 500's gain of 0.53%.
Investors will be eagerly watching for the performance of C3.ai, Inc. in its upcoming earnings disclosure. The company is predicted to post an EPS of -$0.26, indicating a 29.73% growth compared to the equivalent quarter last year. Meanwhile, the latest consensus estimate predicts the revenue to be $51.46 million, indicating a 26.76% decrease compared to the same quarter of the previous year.
AI's full-year Zacks Consensus Estimates are calling for earnings of -$0.82 per share and revenue of $221.58 million. These results would represent year-over-year changes of +39.26% and -11.46%, respectively.
Investors should also pay attention to any latest changes in analyst estimates for C3.ai, Inc. These latest adjustments often mirror the shifting dynamics of short-term business patterns. With this in mind, we can consider positive estimate revisions a sign of optimism about the business outlook.
Our research demonstrates that these adjustments in estimates directly associate with imminent stock price performance. To capitalize on this, we've crafted the Zacks Rank, a unique model that incorporates these estimate changes and offers a practical rating system.
The Zacks Rank system, which varies between #1 (Strong Buy) and #5 (Strong Sell), carries an impressive track record of exceeding expectations, confirmed by external audits, with stocks at #1 delivering an average annual return of +25% since 1988. Over the past month, there's been no change in the Zacks Consensus EPS estimate. At present, C3.ai, Inc. boasts a Zacks Rank of #3 (Hold).
The Computers - IT Services industry is part of the Computer and Technology sector. This group has a Zacks Industry Rank of 86, putting it in the top 35% of all 250+ industries.
The Zacks Industry Rank evaluates the power of our distinct industry groups by determining the average Zacks Rank of the individual stocks forming the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.
Make sure to utilize Zacks.com to follow all of these stock-moving metrics, and more, in the coming trading sessions.
[url="]The Hackett Group, Inc.[/url] (NASDAQ: HCKT), an ROI-led AI transformation firm, today released new research examining how artificial intelligence (AI)
HomeMarketsU.S. & CanadaMarket ExtraMarket ExtraA deluge of hyperscaler debt creates risk that investors will run up against concentration limits in their portfolios from a single company or industryJuly 13, 2026, 3:30 p.m. ET
Investors are no longer finding it easy to digest the torrent of debt funding the artificial-intelligence buildout.
Tech borrowing only kicked off in earnest last fall, when the megacap Big Tech companies known as hyperscalers started to voraciously issue debt. Now, hyperscalers are the largest contributors to the 32% increase in U.S. investment-grade corporate bond supply in 2026 through July 10, according to a new BofA Global report.
Key Takeaways KOSPI dropped nearly 8% below 7,000 as tech weakness and geopolitical tensions rattled investors. EWY offers broad South Korea exposure, with SK Hynix and Samsung Electronics as its top holdings. ETFs like FLKR provide diversified access to South Korean equities amid the recent market pullback. In a dramatic reversal from its recent historic bull run, the South Korean KOSPI index has plummeted nearly 8%, dipping below the 7,000-point mark (at the time of writing this article). This sudden decline stands in stark contrast to the index's performance over the past year, during which it more than doubled and surged past 8,000 points on the back of a semiconductor supercycle and government reforms.
For long-term investors, this sharp pullback represents an opportune moment to increase exposure to South Korean stocks, and by extension, the exchange-traded funds (ETFs) that hold them.
However, before exploring these investment vehicles, it is prudent to examine the factors behind this decline and the catalysts that could drive the South Korean equity market going forward, as discussed below, to help investors make more informed investment decisions.
What Caused the Sudden Plunge?The KOSPI's steep decline can be attributed to a confluence of headwinds. The primary driver is a deepening rout in technology stocks, fueled by concerns over high artificial-intelligence (AI)-related valuations and the pace of returns on massive capital expenditures.
Notably, tech giant Samsung Electronics has been sliding since last week. Even though its July 7th preliminary earnings report beat expectations with record profits, the stellar results weren't enough to calm broader market anxieties. Instead, it triggered an aggressive wave of profit-taking across the entire semiconductor sector.
Shares of SK Hynix, another primary growth driver for KOSPI, plummeted over 10% in Seoul as investors aggressively locked in gains following its spectacular Nasdaq debut on Friday. Together, these two heavyweights, which have been contributing nearly 90% to KOSPI’s gains earlier, caused the majority of the index’s plunge.
This was further compounded by escalating geopolitical tensions in the Middle East, which spiked oil prices and drove a flight to safety among global investors. Meanwhile, investor confidence was hit by reports that the U.S. Commerce Department is pushing South Korean chipmakers to build more fabrication plants domestically, sparking fears of increased corporate costs and supply-chain restructuring.
Will South Korea Rebound?It is imperative to note that the latest downturn in South Korean stocks follows a period of astonishing growth. Not long ago, prior to this correction, the KOSPI was among the world's best-performing markets, driven by an AI-fueled memory chip supercycle. The rally was further supported by the government's "Value-up Program," a series of corporate governance reforms aimed at ending the long-standing "Korea Discount" and boosting shareholder returns.
These are some factors that are going to persist over the long term and should help the South Korean equity market rebound in the days ahead.
In line with this, leading financial institutions like Goldman Sachs maintain a strongly bullish long-term outlook for Seoul’s stock market. Notably, Goldman Sachs Research’s Asia Pacific regional equity strategists raised their 12-month KOSPI target to a roaring 12,000 in June 2026, from 9,000 predicted in May 2026, projecting a staggering 320% earnings growth for the market.
To this end, these strategists expect memory manufacturers’ shift toward three- to five-year long-term supply agreements to sustain elevated profitability for longer than the equity market currently anticipates.
Given this semiconductor memory supercycle, combined with the high operating leverage carried by domestic memory producers, impending price stability should quickly translate into outsized bottom-line growth, ultimately sparking a sharp recovery for Seoul’s benchmark index.
ETFs to ConsiderConsidering the long-term growth outlook of the South Korean stock market, investors can capitalize on the recent pullback by taking a diversified approach through the following ETFs to gain broad exposure to the market.
iShares MSCI South Korea ETF (EWY - Free Report)
This fund, with net assets worth $21.85 billion, offers exposure to 78 large and mid-sized companies in South Korea. SKHY holds the first position in this fund with 25.13% weightage, while Samsung Electronics holds the second position with 22.25% weightage.
EWY has soared 150.7% over the past year. The fund charges 59 basis points (bps) as fees and traded at a good volume of 20.02 million shares in the last trading session.
Franklin FTSE South Korea ETF (FLKR - Free Report)
This fund, with net assets worth $1.29 billion, offers exposure to 157 large and mid-sized companies in South Korea. SK Hynix holds the first position in this fund with 23.97% weightage, while Samsung Electronics holds the second position with 17.21% weightage.
FLKR has surged 140.3% over the past year. The fund charges 9 bps as fees and traded at a volume of 0.44 million shares in the last trading session.
Matthews Korea Active ETF (MKOR - Free Report)
This fund, with net assets worth $137.6 million, seeks to achieve its investment objective by investing at least 80% of its net assets, including borrowings for investment purposes, in the common and preferred stocks of companies located in South Korea. Samsung Electronics holds the first position in this fund with 19% weightage, while PSK Inc. holds the second position with 4.3% weightage.
MKOR has rallied 116.8% over the past year. The fund charges 79 bps as fees and traded at a volume of 0.02 million shares in the last trading session.
[url="]The Hackett Group, Inc.[/url] (NASDAQ: HCKT), an ROI-led [url="]AI transformation[/url] firm, today announced AI World Class Procurement benchmarks â n
C3.ai, Inc. (AI - Free Report) has been one of the most searched-for stocks on Zacks.com lately. So, you might want to look at some of the facts that could shape the stock's performance in the near term.
Shares of this company have returned -17.9% over the past month versus the Zacks S&P 500 composite's +4.3% change. The Zacks Computers - IT Services industry, to which C3.ai belongs, has lost 3% over this period. Now the key question is: Where could the stock be headed in the near term?
Although media reports or rumors about a significant change in a company's business prospects usually cause its stock to trend and lead to an immediate price change, there are always certain fundamental factors that ultimately drive the buy-and-hold decision.
Revisions to Earnings EstimatesRather than focusing on anything else, we at Zacks prioritize evaluating the change in a company's earnings projection. This is because we believe the fair value for its stock is determined by the present value of its future stream of earnings.
We essentially look at how sell-side analysts covering the stock are revising their earnings estimates to reflect the impact of the latest business trends. And if earnings estimates go up for a company, the fair value for its stock goes up. A higher fair value than the current market price drives investors' interest in buying the stock, leading to its price moving higher. This is why empirical research shows a strong correlation between trends in earnings estimate revisions and near-term stock price movements.
For the current quarter, C3.ai is expected to post a loss of $0.26 per share, indicating a change of +29.7% from the year-ago quarter. The Zacks Consensus Estimate has changed -2% over the last 30 days.
For the current fiscal year, the consensus earnings estimate of -$0.82 points to a change of +39.3% from the prior year. Over the last 30 days, this estimate has changed -0.6%.
For the next fiscal year, the consensus earnings estimate of $0.5 indicates a change of +39.8% from what C3.ai is expected to report a year ago. Over the past month, the estimate has remained unchanged.
Having a strong externally audited track record, our proprietary stock rating tool, the Zacks Rank, offers a more conclusive picture of a stock's price direction in the near term, since it effectively harnesses the power of earnings estimate revisions. Due to the size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, C3.ai is rated Zacks Rank #3 (Hold).
The chart below shows the evolution of the company's forward 12-month consensus EPS estimate:
12 Month EPS
Projected Revenue GrowthEven though a company's earnings growth is arguably the best indicator of its financial health, nothing much happens if it cannot raise its revenues. It's almost impossible for a company to grow its earnings without growing its revenue for long periods. Therefore, knowing a company's potential revenue growth is crucial.
In the case of C3.ai, the consensus sales estimate of $51.46 million for the current quarter points to a year-over-year change of -26.8%. The $221.58 million and $240.78 million estimates for the current and next fiscal years indicate changes of -11.5% and +8.7%, respectively.
Last Reported Results and Surprise HistoryC3.ai reported revenues of $51.6 million in the last reported quarter, representing a year-over-year change of -52.5%. EPS of -$0.33 for the same period compares with -$0.16 a year ago.
Compared to the Zacks Consensus Estimate of $49.75 million, the reported revenues represent a surprise of +3.72%. The EPS surprise was +13.16%.
Over the last four quarters, C3.ai surpassed consensus EPS estimates three times. The company topped consensus revenue estimates two times over this period.
ValuationWithout considering a stock's valuation, no investment decision can be efficient. In predicting a stock's future price performance, it's crucial to determine whether its current price correctly reflects the intrinsic value of the underlying business and the company's growth prospects.
Comparing the current value of a company's valuation multiples, such as its price-to-earnings (P/E), price-to-sales (P/S), and price-to-cash flow (P/CF), to its own historical values helps ascertain whether its stock is fairly valued, overvalued, or undervalued, whereas comparing the company relative to its peers on these parameters gives a good sense of how reasonable its stock price is.
The Zacks Value Style Score (part of the Zacks Style Scores system), which pays close attention to both traditional and unconventional valuation metrics to grade stocks from A to F (an A is better than a B; a B is better than a C; and so on), is pretty helpful in identifying whether a stock is overvalued, rightly valued, or temporarily undervalued.
C3.ai is graded F on this front, indicating that it is trading at a premium to its peers. Click here to see the values of some of the valuation metrics that have driven this grade.
ConclusionThe facts discussed here and much other information on Zacks.com might help determine whether or not it's worthwhile paying attention to the market buzz about C3.ai. However, its Zacks Rank #3 does suggest that it may perform in line with the broader market in the near term.
C3.ai: Facing Declining RevenueC3.ai (AI 0.67%) primarily generates revenue by providing enterprise software that helps organizations develop and operate large-scale data applications using artificial intelligence. It recently expanded a collaboration with Shell and recorded a net income margin of negative 224% for the quarter ended April 30, 2026.
BigBear.ai: Stabilizing Its Revenue BaseBigBear.ai (BBAI 1.51%) earns revenue by providing technology consulting and data analysis services using AI for predictive modeling and decision support. While facing a securities fraud investigation from a law firm, it gained national security approval in the Netherlands to use its platform for airport security screening. It reported an EBIT margin of negative 67% for the quarter ended March 31, 2026.
Why Revenue Matters for Retail InvestorsTracking revenue helps investors measure a company's ability to generate baseline sales before accounting for expenses. This metric reveals whether an organization is successfully attracting customers and growing its overall business volume over time.
Quarter (Period End)C3.ai RevenueBigBear.ai RevenueQ3 2024$87.2 million (period ended July 2024)$41.5 million (period ended Sept. 2024)Q4 2024$94.3 million (period ended Oct. 2024)$43.8 million (period ended Dec. 2024)Q1 2025$98.8 million (period ended Jan. 2025)$34.8 million (period ended March 2025)Q2 2025$108.7 million (period ended April 2025)$32.5 million (period ended June 2025)Q3 2025$70.3 million (period ended July 2025)$33.1 million (period ended Sept. 2025)Q4 2025$75.1 million (period ended Oct. 2025)$27.3 million (period ended Dec. 2025)Q1 2026$53.3 million (period ended Jan. 2026)$34.4 million (period ended March 2026)Q2 2026$51.6 million (period ended April 2026)Not yet reportedData source: Company filings. Data as of July 10, 2026.
Foolish TakeFor investors interested in exposure to the hot artificial intelligence sector, C3.ai and BigBear.ai are two stocks to consider. Both produce significant sales from the U.S. government. Examining their revenue trends is a fundamental starting point to seeing how well their respective AI solutions are gaining customer traction.
As these trends reveal, both businesses are experiencing year-over-year sales declines in recent quarters. The reason behind this is different for each. BigBear.ai saw 2025 revenue drop to $127.7 million compared to $158.2 million in 2024 as a result of the Trump Administration’s budget cuts last year.
The company may be turning a corner in 2026. BigBear.ai’s first-quarter revenue of $34.4 million was only a 1% year-over-year drop. It forecasted full-year 2026 revenue between $135 million and $165 million, indicating it expects to improve from last year’s dismal sales.
C3.ai saw revenue fall after its CEO, Tom Siebel, had to step down due to health reasons. The company announced his return to the position when it reported results for its fiscal fourth quarter ended April 30.
C3.ai did well under Siebel, as illustrated by its quarterly revenue growth trend between Q3 of 2024 to Q2 of 2025. Now that he is back running the company, the question remains whether sales will return to this previous performance. Investors may have to wait a few quarters to see if Siebel can turn the business around.
In the latest close session, C3.ai, Inc. (AI - Free Report) was up +1.69% at $9.01. The stock's change was more than the S&P 500's daily gain of 0.81%. Meanwhile, the Dow gained 0.27%, and the Nasdaq, a tech-heavy index, added 1.3%.
The company's stock has dropped by 17.96% in the past month, falling short of the Computer and Technology sector's loss of 1.59% and the S&P 500's gain of 1.13%.
The investment community will be paying close attention to the earnings performance of C3.ai, Inc. in its upcoming release. On that day, C3.ai, Inc. is projected to report earnings of -$0.26 per share, which would represent year-over-year growth of 29.73%. Our most recent consensus estimate is calling for quarterly revenue of $51.46 million, down 26.76% from the year-ago period.
AI's full-year Zacks Consensus Estimates are calling for earnings of -$0.82 per share and revenue of $221.58 million. These results would represent year-over-year changes of +39.26% and -11.46%, respectively.
It is also important to note the recent changes to analyst estimates for C3.ai, Inc. These revisions typically reflect the latest short-term business trends, which can change frequently. With this in mind, we can consider positive estimate revisions a sign of optimism about the business outlook.
Our research reveals that these estimate alterations are directly linked with the stock price performance in the near future. To utilize this, we have created the Zacks Rank, a proprietary model that integrates these estimate changes and provides a functional rating system.
Ranging from #1 (Strong Buy) to #5 (Strong Sell), the Zacks Rank system has a proven, outside-audited track record of outperformance, with #1 stocks returning an average of +25% annually since 1988. Over the last 30 days, the Zacks Consensus EPS estimate has moved 0.6% lower. At present, C3.ai, Inc. boasts a Zacks Rank of #3 (Hold).
The Computers - IT Services industry is part of the Computer and Technology sector. With its current Zacks Industry Rank of 99, this industry ranks in the top 41% of all industries, numbering over 250.
The Zacks Industry Rank assesses the vigor of our specific industry groups by computing the average Zacks Rank of the individual stocks incorporated in the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.
Keep in mind to rely on Zacks.com to watch all these stock-impacting metrics, and more, in the succeeding trading sessions.
IQM Quantum Computers (Nasdaq: IQMX) (âIQMâ, âIQM Quantum Computersâ or the âCompanyâ), a global leader in full-stack superconducting quantum compu
COLUMBUS, Ohio--(BUSINESS WIRE)---- $AI #AI--RP1® today launches Artemis™, the world's first native metaverse browser. Artemis is available for download at rp1.com/artemis. For three and a half decades, the World Wide Web and web browsers have connected people to pages. Web browsers removed the friction of accessing information on the internet, created interoperability across every device, and gave the world an open ecosystem to build on. Spatial computing has been waiting for the same thing: an open engin.
C3.ai, Inc. (AI - Free Report) has recently been on Zacks.com's list of the most searched stocks. Therefore, you might want to consider some of the key factors that could influence the stock's performance in the near future.
Shares of this company have returned -24.5% over the past month versus the Zacks S&P 500 composite's -2.9% change. The Zacks Computers - IT Services industry, to which C3.ai belongs, has lost 14.3% over this period. Now the key question is: Where could the stock be headed in the near term?
Although media reports or rumors about a significant change in a company's business prospects usually cause its stock to trend and lead to an immediate price change, there are always certain fundamental factors that ultimately drive the buy-and-hold decision.
Revisions to Earnings EstimatesHere at Zacks, we prioritize appraising the change in the projection of a company's future earnings over anything else. That's because we believe the present value of its future stream of earnings is what determines the fair value for its stock.
Our analysis is essentially based on how sell-side analysts covering the stock are revising their earnings estimates to take the latest business trends into account. When earnings estimates for a company go up, the fair value for its stock goes up as well. And when a stock's fair value is higher than its current market price, investors tend to buy the stock, resulting in its price moving upward. Because of this, empirical studies indicate a strong correlation between trends in earnings estimate revisions and short-term stock price movements.
For the current quarter, C3.ai is expected to post a loss of $0.63 per share, indicating a change of +26.2% from the year-ago quarter. The Zacks Consensus Estimate has changed +7.1% over the last 30 days.
The consensus earnings estimate of -$2.28 for the current fiscal year indicates a year-over-year change of +30.4%. This estimate has changed +8% over the last 30 days.
For the next fiscal year, the consensus earnings estimate of $2.04 indicates a change of +10.4% from what C3.ai is expected to report a year ago. Over the past month, the estimate has changed -6.8%.
With an impressive externally audited track record, our proprietary stock rating tool -- the Zacks Rank -- is a more conclusive indicator of a stock's near-term price performance, as it effectively harnesses the power of earnings estimate revisions. The size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, has resulted in a Zacks Rank #3 (Hold) for C3.ai.
The chart below shows the evolution of the company's forward 12-month consensus EPS estimate:
12 Month EPS
Projected Revenue GrowthWhile earnings growth is arguably the most superior indicator of a company's financial health, nothing happens as such if a business isn't able to grow its revenues. After all, it's nearly impossible for a company to increase its earnings for an extended period without increasing its revenues. So, it's important to know a company's potential revenue growth.
In the case of C3.ai, the consensus sales estimate of $51.46 million for the current quarter points to a year-over-year change of -26.8%. The $221.58 million and $240.78 million estimates for the current and next fiscal years indicate changes of -11.5% and +8.7%, respectively.
Last Reported Results and Surprise HistoryC3.ai reported revenues of $51.6 million in the last reported quarter, representing a year-over-year change of -52.5%. EPS of -$0.33 for the same period compares with -$0.16 a year ago.
Compared to the Zacks Consensus Estimate of $49.75 million, the reported revenues represent a surprise of +3.72%. The EPS surprise was +13.16%.
Over the last four quarters, C3.ai surpassed consensus EPS estimates three times. The company topped consensus revenue estimates two times over this period.
ValuationNo investment decision can be efficient without considering a stock's valuation. Whether a stock's current price rightly reflects the intrinsic value of the underlying business and the company's growth prospects is an essential determinant of its future price performance.
While comparing the current values of a company's valuation multiples, such as price-to-earnings (P/E), price-to-sales (P/S), and price-to-cash flow (P/CF), with its own historical values helps determine whether its stock is fairly valued, overvalued, or undervalued, comparing the company relative to its peers on these parameters gives a good sense of the reasonability of the stock's price.
The Zacks Value Style Score (part of the Zacks Style Scores system), which pays close attention to both traditional and unconventional valuation metrics to grade stocks from A to F (an A is better than a B; a B is better than a C; and so on), is pretty helpful in identifying whether a stock is overvalued, rightly valued, or temporarily undervalued.
C3.ai is graded F on this front, indicating that it is trading at a premium to its peers. Click here to see the values of some of the valuation metrics that have driven this grade.
ConclusionThe facts discussed here and much other information on Zacks.com might help determine whether or not it's worthwhile paying attention to the market buzz about C3.ai. However, its Zacks Rank #3 does suggest that it may perform in line with the broader market in the near term.
Key Takeaways C3.ai is viewed as the better buy due to its cash position, restructuring and lower operational risk.SOUN posted 52% revenue growth and sees LivePerson expanding its enterprise customer base.C3.ai cut headcount by about 35% and targets roughly $135 million in annual operating cost savings. Artificial intelligence continues to reshape enterprise software, creating significant opportunities for companies that can successfully commercialize AI. SoundHound AI (SOUN - Free Report) and C3.ai (AI - Free Report) are two pure-play AI companies targeting enterprise customers through different approaches—one focused on conversational and agentic AI, the other on enterprise AI applications. Both companies recently reported quarterly results, which highlighted evolving growth strategies and execution priorities.
Let's dive deep and closely compare the fundamentals of the two stocks to determine which one is the better investment now.
The Case for SoundHound StockSoundHound continues to establish itself as one of the fastest-growing conversational AI companies. First-quarter 2026 revenues increased 52% year over year to a record $44.2 million, while its core automotive and IoT AI business grew 88% excluding acquisitions. Management reaffirmed its full-year revenue guidance of $225-$260 million, reflecting continued demand across automotive, restaurants, financial services, healthcare and enterprise customer service.
The company's most significant growth catalyst is its planned acquisition of LivePerson. The transaction will significantly expand SoundHound's enterprise customer base by adding hundreds of long-standing customers across banking, telecommunications, healthcare and retail. Management expects the combined platform to create a long-term revenue opportunity of roughly $500 million through cross-selling voice AI, digital messaging and omnichannel customer engagement solutions.
Innovation remains another competitive advantage. During the quarter, SoundHound introduced OASYS, a self-learning agentic AI platform that can automatically create, orchestrate and improve AI agents while leveraging the company's proprietary speech foundation models. By reducing reliance on third-party large language models, management expects lower operating costs, stronger customer outcomes and improved scalability over time. The company also continues expanding its enterprise pipeline across multiple industries, supporting long-term revenue visibility.
Despite these positives, meaningful risks remain. SoundHound continues to generate sizable operating and adjusted EBITDA losses as it aggressively invests in AI infrastructure and product development. The planned LivePerson acquisition introduces integration and execution risk, while realizing anticipated cost and revenue synergies could take longer than expected. Continued investment in proprietary AI models may also keep margins under pressure before the business reaches meaningful operating leverage.
The Case for C3.ai StockC3.ai remains one of the best-known enterprise AI software providers, serving governments and large commercial customers through its AI application platform. However, the fourth quarter of fiscal 2026 results illustrated that the company is still navigating a challenging turnaround.
Quarterly revenues declined to $51.6 million, while full-year revenues decreased to $250.3 million. Subscription revenues continued to represent 94% of quarterly sales, underscoring the recurring nature of its business model. Nevertheless, management guided fiscal 2027 revenues to $210-$240 million, indicating another year of top-line pressure.
Management has responded aggressively. Founder Thomas Siebel returned as chief executive officer and implemented a broad restructuring that reduced headcount by approximately 35%, simplified operations and targeted roughly $135 million in annual operating cost savings. The company is also reorganizing its sales organization, customer success teams and product development while embedding agentic AI across internal operations to improve productivity and execution.
Financial strength remains C3.ai's biggest advantage. The company exited the quarter with more than $670 million in cash, cash equivalents and marketable securities, providing substantial flexibility to fund its turnaround without requiring additional capital. The restructuring is also beginning to improve earnings expectations, even though revenue growth remains under pressure.
The biggest challenge is restoring sustainable growth. Revenue guidance remains weak, enterprise sales execution has disappointed and management must demonstrate that organizational changes can translate into stronger customer wins and expanding deployments.
Relative Stock Performance Favors SoundHoundAI stocks have experienced sharp volatility in 2026. SoundHound shares have plunged 37.4% year to date, outperforming both C3.ai, whose stock has plummeted 64.6%, and the Zacks Computers – IT Services industry's 35.5% decline.
SOUN vs AI Price Performance (YTD)
Image Source: Zacks Investment Research
Among comparable AI peers, Palantir Technologies (PLTR - Free Report) has lost 25.6% while BigBear.ai Holdings (BBAI - Free Report) has plunged 41.2% year to date. Although none of these companies have kept pace with the broader Zacks Computer and Technology sector's 36.4% gain or the S&P 500's 23.3% advance, SoundHound's relatively better share-price performance suggests investors continue to assign greater confidence to its long-term growth strategy than to C3.ai's ongoing turnaround.
Valuation Reflects Diverging ExpectationsOn a forward 12-month price-to-sales (P/S) basis, SoundHound trades at 10.63X, slightly below the Zacks Computers – IT Services industry average of 11.05X, while C3.ai trades at 5.66X.
SOUN vs AI Valuation (P/E F12M)
Image Source: Zacks Investment Research
Among AI peers, Palantir commands a premium multiple of 27.88X, reflecting its superior execution, profitability and market leadership. BigBear.ai trades at 10.62X, almost identical to SoundHound's valuation.
Although C3.ai appears considerably cheaper, its discounted multiple largely reflects slowing revenue growth and execution uncertainty. SoundHound's higher valuation appears supported by stronger revenue momentum and multiple growth catalysts, including OASYS and the planned LivePerson acquisition.
Earnings Estimates Tell Different StoriesEstimate revisions currently favor C3.ai, while revenue expectations favor SoundHound.
Over the past 60 days, the Zacks Consensus Estimate for SoundHound's 2026 loss has widened to 18 cents per share from 9 cents. Analysts nevertheless expect revenues to grow 38% in 2026, followed by another 15.9% growth in 2027.
SOUN Estimate Revision
Image Source: Zacks Investment Research
Meanwhile, the Zacks Consensus Estimate for C3.ai's fiscal 2027 loss has narrowed to 82 cents per share from 92 cents over the past 30 days, reflecting expected benefits from its restructuring efforts. Fiscal 2027 revenues are projected to decline 11.5% before returning to 8.7% growth in fiscal 2028.
C3.ai Estimate Revision
Image Source: Zacks Investment Research
Which AI Stock Is the Better Buy?Both companies offer differentiated exposure to enterprise AI, but with distinctly different risk profiles. SoundHound is delivering much stronger revenue growth, expanding its enterprise footprint and introducing innovative agentic AI capabilities that could support long-term value creation. However, the company is also pursuing an aggressive expansion strategy that carries considerable execution risk. Persistent operating losses, elevated cash requirements to fund AI development, uncertainty surrounding the successful integration of LivePerson and the absence of a clear timeline to sustainable profitability increase the near-term investment risk.
C3.ai, meanwhile, faces slower revenue growth but has already taken decisive restructuring actions, maintains a fortress balance sheet and is showing early signs of improving earnings expectations. While its turnaround remains a work in progress, the company's stronger financial position and lower operational risk make it a more attractive investment today. C3.ai currently carries a Zacks Rank #3 (Hold) and SoundHound carries a Zacks Rank #4 (Sell).
You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.
NIQ (NYSE: NIQ), a leading consumer intelligence company, today revealed new analysis presented at The Consumer Goods Forum (CGF) Global Summit showing that ne
C3.ai, Inc. (AI - Free Report) is one of the stocks most watched by Zacks.com visitors lately. So, it might be a good idea to review some of the factors that might affect the near-term performance of the stock.
Over the past month, shares of this company have returned +10.4%, compared to the Zacks S&P 500 composite's +1.4% change. During this period, the Zacks Computers - IT Services industry, which C3.ai falls in, has lost 8.2%. The key question now is: What could be the stock's future direction?
Although media reports or rumors about a significant change in a company's business prospects usually cause its stock to trend and lead to an immediate price change, there are always certain fundamental factors that ultimately drive the buy-and-hold decision.
Revisions to Earnings EstimatesHere at Zacks, we prioritize appraising the change in the projection of a company's future earnings over anything else. That's because we believe the present value of its future stream of earnings is what determines the fair value for its stock.
Our analysis is essentially based on how sell-side analysts covering the stock are revising their earnings estimates to take the latest business trends into account. When earnings estimates for a company go up, the fair value for its stock goes up as well. And when a stock's fair value is higher than its current market price, investors tend to buy the stock, resulting in its price moving upward. Because of this, empirical studies indicate a strong correlation between trends in earnings estimate revisions and short-term stock price movements.
C3.ai is expected to post a loss of $0.25 per share for the current quarter, representing a year-over-year change of +32.4%. Over the last 30 days, the Zacks Consensus Estimate has changed +8.9%.
The consensus earnings estimate of -$0.81 for the current fiscal year indicates a year-over-year change of +40%. This estimate has changed +8.5% over the last 30 days.
For the next fiscal year, the consensus earnings estimate of $0.52 indicates a change of +35.6% from what C3.ai is expected to report a year ago. Over the past month, the estimate has changed +26.8%.
Having a strong externally audited track record, our proprietary stock rating tool, the Zacks Rank, offers a more conclusive picture of a stock's price direction in the near term, since it effectively harnesses the power of earnings estimate revisions. Due to the size of the recent change in the consensus estimate, along with three other factors related to earnings estimates, C3.ai is rated Zacks Rank #3 (Hold).
The chart below shows the evolution of the company's forward 12-month consensus EPS estimate:
12 Month EPS
Projected Revenue GrowthWhile earnings growth is arguably the most superior indicator of a company's financial health, nothing happens as such if a business isn't able to grow its revenues. After all, it's nearly impossible for a company to increase its earnings for an extended period without increasing its revenues. So, it's important to know a company's potential revenue growth.
In the case of C3.ai, the consensus sales estimate of $51.46 million for the current quarter points to a year-over-year change of -26.8%. The $221.58 million and $240.78 million estimates for the current and next fiscal years indicate changes of -11.5% and +8.7%, respectively.
Last Reported Results and Surprise HistoryC3.ai reported revenues of $51.6 million in the last reported quarter, representing a year-over-year change of -52.5%. EPS of -$0.33 for the same period compares with -$0.16 a year ago.
Compared to the Zacks Consensus Estimate of $49.75 million, the reported revenues represent a surprise of +3.72%. The EPS surprise was +13.16%.
Over the last four quarters, C3.ai surpassed consensus EPS estimates three times. The company topped consensus revenue estimates two times over this period.
ValuationWithout considering a stock's valuation, no investment decision can be efficient. In predicting a stock's future price performance, it's crucial to determine whether its current price correctly reflects the intrinsic value of the underlying business and the company's growth prospects.
While comparing the current values of a company's valuation multiples, such as price-to-earnings (P/E), price-to-sales (P/S), and price-to-cash flow (P/CF), with its own historical values helps determine whether its stock is fairly valued, overvalued, or undervalued, comparing the company relative to its peers on these parameters gives a good sense of the reasonability of the stock's price.
As part of the Zacks Style Scores system, the Zacks Value Style Score (which evaluates both traditional and unconventional valuation metrics) organizes stocks into five groups ranging from A to F (A is better than B; B is better than C; and so on), making it helpful in identifying whether a stock is overvalued, rightly valued, or temporarily undervalued.
C3.ai is graded F on this front, indicating that it is trading at a premium to its peers. Click here to see the values of some of the valuation metrics that have driven this grade.
Bottom LineThe facts discussed here and much other information on Zacks.com might help determine whether or not it's worthwhile paying attention to the market buzz about C3.ai. However, its Zacks Rank #3 does suggest that it may perform in line with the broader market in the near term.
Hitesh Lath, Chief Financial Officer of C3.ai (AI 0.93%), reported the sale of 34,210 shares of Class A Common Stock for a total consideration of approximately $375,000 on June 16, 2026, as disclosed in this SEC Form 4 filing.
Transaction summaryMetricValueShares sold (direct)34,210Transaction value~$375,000Post-transaction shares (direct)233,106Post-transaction value (direct ownership)~$2.55 millionTransaction value based on SEC Form 4 weighted average purchase price ($10.95); post-transaction value based on June 16, 2026 market close price ($10.93).
Key questionsWhat was the structure and mechanics of this sale?
This transaction involved the exercise of 29,008 options, followed by the immediate sale of 34,210 Class A directly-held shares by Lath; there were no indirect transactions or transfers to trusts or other entities.How does the size of this sale compare to Lath's historical selling patterns?
The sale, at 12.80% of direct holdings, was larger than prior individual sell-only transactions, but the increased size reflects reduced remaining capacity after several years of net share disposition rather than a change in disposition cadence.What does Lath's post-sale equity exposure look like?
Following the transaction, Lath directly holds 233,106 Class A shares (valued at ~$2.55 million as of June 16, 2026) and maintains 352,077 RSUs, ensuring meaningful ongoing exposure to the company's equity.What is the current market context for C3.ai shares?
The transaction occurred with Class A shares priced around $10.95, against a one-year price decline of 55.3% as of June 16, 2026, and a current market price of $10.30 as of June 18, 2026.Company overviewMetricValuePrice (as of market close 2026-06-16)$10.93Market capitalization$1.49 billionRevenue (TTM)$250.27 million1-year price change(55.3%)* 1-year price change calculated using June 16th, 2026 as the reference date.
Company snapshotC3.ai offers enterprise AI software platforms, industry-specific AI applications, and data analytics tools for sectors such as oil and gas, manufacturing, financial services, and defense.It generates revenue through software subscriptions and professional services, leveraging a scalable platform model with pre-built and customizable solutions.The company serves large enterprises and government agencies globally, targeting organizations seeking to deploy AI at scale for operational efficiency and risk management.C3.ai, Inc. is a technology company specializing in enterprise-scale artificial intelligence software, with a focus on delivering robust, turnkey AI solutions across diverse industries.
The company leverages strategic partnerships with leading technology and industry players to enhance its platform capabilities and market reach. Its competitive advantage lies in providing integrated, industry-specific applications that address complex business challenges and drive digital transformation for large organizations.
What this transaction means for investorsThe June 16 sale of C3.ai stock by the company’s CFO Hitesh Lath came at a time when shares were beaten down from last year’s 52-week high of $30.11. Even so, the disposition is not a cause for investor concern. It was performed to fulfill tax withholding obligations incurred in connection with the vesting of restricted stock units.
C3.ai’s share price decline was due to falling revenue and rising losses. In the company’s 2026 fiscal year, ended April 30, revenue was $250.3 million, a sharp decline from the previous year’s $389.1 million. Its net loss rose to $470.4 million compared to a loss of $288.7 million in the year prior.
C3.ai’s struggles began after CEO Thomas Siebel stepped down due to health reasons last year. The company announced his return to the position on June 3. This was followed by an expanded partnership with energy giant Shell. C3.ai relies heavily on partners for revenue. The new deal combined with Siebel’s return may help the company bounce back from its sales woes.
C3 AI (NYSE: AI), the enterprise AI application software company, today announced that Jim Hagemann Snabe, a member of its Board of Directors and special advisor to Chairman and Chief Executive Officer Thomas M. Siebel, has been appointed by the European Commission as Special Envoy for Industrial Artificial Intelligence. In this role, he will advise Commission President Ursula von der Leyen and Executive Vice-President Henna Virkkunen. Snabe will take a leave of absence from his roles at C3 AI for the duration of the appointment and is expected to return when his service concludes.
As Special Envoy, Snabe will advise on the full industrial AI ecosystem — including AI infrastructure such as data centers, high-performance computing, and the semiconductor supply chains essential to AI deployment; foundational technologies such as large language models and generative AI; and the application of AI across industrial sectors. He will deliver an evidence-based, forward-looking report to inform the Commission's work. The role is unpaid and runs through March 31, 2027.
“Jim Snabe is among the most experienced and widely respected leaders in global technology and industry, and the European Commission could not have chosen anyone better suited to advise it on industrial AI,” said Thomas M. Siebel, Chairman and Chief Executive Officer of C3 AI. “Europe is fortunate to have him. We will miss his advice and counsel during his leave of absence, and we look forward to welcoming him back to C3 AI when his service to the Commission is complete.”
Snabe's career spans more than three decades at the intersection of technology, industry, and innovation. He is Chairman of the Supervisory Board of Siemens AG and serves on the boards of C3 AI, Bloom Energy, and Temasek, as well as on the Board of Trustees of the World Economic Forum. His advisory roles include the International Advisory Board of Allianz and the Global Advisory Board of Deutsche Bank, and he has served as a special advisor to Google Cloud and to the Chief Executive Officer of C3 AI. Earlier in his career, Snabe was co-CEO of SAP, helping to lead one of the world's foremost enterprise software companies, and he subsequently served as Chairman of A.P. Møller–Maersk and as Vice Chairman of Allianz SE. Across these roles, he has been a trusted advisor to many of the world's leading companies — among them Siemens, Maersk, Allianz, and C3 AI — and to governments.
Consistent with the European Commission's requirements for special advisors, Snabe will step back from his C3 AI board seat and his advisory role to the Chief Executive Officer for the duration of his appointment. He is expected to resume both roles upon its conclusion.
About C3.ai, Inc.
C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.
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Global professional services firm Huron (NASDAQ: HURN), today announced Shoshana Vernick was elected to its Board of Directors, effective June 19, 2026. Ms. Vernick is an accomplished leader with deep expertise in the education industry and a demonstrated track record of advancing innovation, technology-enabled growth and long-term organizational value.
“We are pleased to welcome Shoshana to the Huron Board of Directors,” said Hugh Sawyer, non-executive chairman of theHuron board. “Shoshana has led organizations through periods of significant growth and transformation and is widely respected in the investment community. Her industry knowledge, financial acumen, and perspective on strategy, organizational effectiveness, capital markets, and governance will be a valuable addition to our board as we continue to advance our growth strategy and create long-term shareholder value.”
Ms. Vernick is co-founder and managing partner of Avathon Capital, a private equity firm focused on investments across the education and knowledge services sector, where she has overseen 16 platform investments since founding the firm in 2016. In her role, she drives the firm’s value creation strategy with a focus on organic and inorganic growth, advanced technology, and organizational design. Previously, she served as Managing Director at Sterling Partners, investing across education, healthcare, and business services.
Ms. Vernick also served as an independent trustee of Flowstone Opportunity Fund and was a member of its audit committee. She also serves as a board member for the Avathon Capital portfolio companies Academic Programs International, ReUp Education, Shorelight, Edvance, Summit Professional Education and OculusIT. Ms. Vernick is Vice Chair of the Illinois Venture Capital Association (IVCA), a founding Board member of the IVCA Foundation and serves on the Steering Committee of the KPMG & University of Chicago Economic Forum.
“I am excited to join Huron’s board of directors at such an exciting time in the company's growth trajectory,” said Shoshana Vernick. "Huron has a strong track record of helping clients across industries navigate a multitude of complex challenges, and I look forward to contributing to the board's work as the company continues to execute its strategy.”
The appointment of Ms. Vernick to Huron’s board advances Huron’s commitment to its periodic board refreshment process and brings the size of the board to nine members. Her skillsets and experience further strengthen the board’s collective expertise as Huron continues to execute its long-term growth strategy.
ABOUT HURON
Huron is a global professional services firm that collaborates with organizations to help solve their most complex challenges and achieve their most ambitious goals. Working across the private and public sectors, we partner closely with clients to improve performance, accelerate transformation, and unlock new opportunities for growth.
Our clients choose us because of our deep industry and technical expertise and proven track record of turning sound strategies into action. By combining practical experience, innovative thinking, and advanced analytics and technology, Huron helps organizations translate today’s ideas into tangible results and long-term value. Learn more at www.huronconsultinggroup.com.
Statements in this press release that are not historical in nature, including those concerning the company’s current expectations about its future results, are “forward-looking” statements as defined in Section 21E of the Securities Exchange Act of 1934, as amended, and the Private Securities Litigation Reform Act of 1995. Forward-looking statements are identified by words such as “may,” “should,” “expects,” “provides,” “anticipates,” “assumes,” “can,” “will,” “meets,” “could,” “likely,” “intends,” “might,” “predicts,” “seeks,” “would,” “believes,” “estimates,” “plans,” “positions,” “continues,” “goals,” “guidance,” or “outlook,” or similar expressions. These forward-looking statements reflect the company's current expectations about future requirements and needs, results, levels of activity, performance, or achievements. Some of the factors that could cause actual results to differ materially from the forward-looking statements contained herein include, without limitation: failure to achieve expected utilization rates, billing rates, and the necessary number of revenue-generating professionals; our ability to realize the expected benefits and potential opportunities of artificial intelligence (AI); inability to expand or adjust our service offerings in response to market demands; our dependence on renewal of client-based services; dependence on new business and retention of current clients and qualified personnel; failure to maintain third-party provider relationships and strategic alliances; inability to license technology to and from third parties; the impairment of goodwill; various factors related to income and other taxes; difficulties in successfully integrating the businesses we acquire and achieving expected benefits from such acquisitions; risks relating to privacy, information security, and related laws and standards; and a general downturn or volatility in market conditions, including as a result of current global trade tensions and/or tariffs. These forward-looking statements involve known and unknown risks, uncertainties, and other factors, including, among others, those described under “Item 1A. Risk Factors” in Huron's Annual Report on Form 10-K for the year ended December 31, 2025 that may cause actual results, levels of activity, performance or achievements to be materially different from any anticipated results, levels of activity, performance, or achievements expressed or implied by these forward-looking statements. The company disclaims any obligation to update or revise any forward-looking statements as a result of new information or future events, or for any other reason.
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Ambiq Micro, Inc. (“Ambiq”) (NYSE: AMBQ), a technology leader in ultra-low-power semiconductor solutions for edge AI, today announced the pricing of its upsized underwritten public offering of 2,000,000 shares of its common stock at a public offering price of $78.00 per share. The gross proceeds to Ambiq from the offering, before deducting underwriting discounts and commissions and other offering expenses, are expected to be $156.0 million. In addition, Ambiq has granted the underwriters a 30-day option to purchase up to an additional 300,000 shares of common stock at the public offering price, less underwriting discounts and commissions. The offering is expected to close on June 25, 2026, subject to the satisfaction of customary closing conditions.
BofA Securities and UBS Investment Bank are acting as joint lead book-running managers for the proposed offering. Needham & Company, Stifel, and Roth Capital Partners are acting as joint book-running managers for the proposed offering.
A registration statement relating to the offering of securities was declared effective by the U.S. Securities and Exchange Commission on June 23, 2026. The offering is being made only by means of a prospectus. When available, copies of the final prospectus relating to the offering may be obtained by contacting: BofA Securities, NC1-022-02-25, 201 North Tryon Street, Charlotte, North Carolina 28255-0001, Attention: Prospectus Department, or by email at [email protected] or UBS Securities LLC, Attention: Prospectus Department, 11 Madison Avenue, New York, New York 10010, or by email at [email protected].
This press release shall not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or other jurisdiction in which such offer, solicitation or sale would be unlawful prior to the registration or qualification under the securities laws of any such state or other jurisdiction.
About Ambiq
Headquartered in Austin, Texas, Ambiq’s mission is to enable intelligence (artificial intelligence (AI) and beyond) everywhere by delivering the lowest power semiconductor solutions. Ambiq enables its customers to deliver AI compute at the edge where power consumption challenges are the most severe. Ambiq’s technology innovations, built on the patented and proprietary subthreshold power optimized technology (SPOT®), fundamentally deliver a multi-fold improvement in power consumption over traditional semiconductor designs. Ambiq has powered over 300 million devices to date.
Forward-Looking Statements
The statements contained in this press release that are not historical facts are forward-looking statements. You can identify forward-looking statements because they contain words such as “believes,” “expects,” “may,” “will,” “should,” “seeks,” “intends,” “plans,” “estimates,” or “anticipates,” or similar expressions which concern our strategy, plans, projections or intentions. These forward-looking statements may be included throughout this press release, and include, but are not limited to, statements relating to Ambiq’s expected gross proceeds from the offering and the expected timing and closing of the offering. By their nature, forward-looking statements are not statements of historical fact or guarantees of future performance and are subject to risks, uncertainties, assumptions or changes in circumstances that are difficult to predict or quantify including those described in the section titled “Risk Factors” in Ambiq’s Annual Report on Form 10-K for the year ended December 31, 2025, as well as in other filings Ambiq may make with the SEC from time to time. Ambiq’s expectations, beliefs and projections are expressed in good faith and Ambiq believes there is a reasonable basis for them. However, there can be no assurance that management’s expectations, beliefs and projections will result or be achieved and actual results may vary materially from what is expressed in or indicated by the forward-looking statements. Any forward-looking statement in this press release speaks only as of the date of this release. Ambiq undertakes no obligation to publicly update or review any forward-looking statement, whether as a result of new information, future developments or otherwise, except as may be required by any applicable securities laws.
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The Hackett Group, Inc. (NASDAQ: HCKT), an ROI-led AI transformation firm, today announced the winners of its annual Hackett Innovation Awards, recognizing organizations that are using artificial intelligence (AI) to redesign enterprise workflows, accelerate performance and deliver significant impact across their end-to-end business processes.
“The winning organizations are moving beyond AI experimentation to reinvent workflows, operating models, and enterprise performance around measurable outcomes and sustained ROI,” said The Hackett Group® Managing Director of Europe David Ketchin. “They are clear on the value they want to deliver, they rethink how work gets done across people and technology, and they invest purposefully in developing the skills and structures needed to make that change lasting and at scale.”
Elanco’s procure-to-pay team had historically operated as “human middleware” who manually processed over 30,000 queries annually – error-prone interventions that often took more than 10 minutes each. To streamline operations and better support its mission of providing health solutions for pets and livestock, Elanco developed a two-layer agent-based AI ecosystem that leveraged ElancoGPT, the company’s secure AI platform. Layer one, AskSAP, enabled employees to query records via natural language. Layer two, a procure-to-pay agent, autonomously scans vendor emails, identifies intent, cross-references records with live enterprise resource planning (ERP) data, and drafts responses, which are then reviewed by employees. Query resolution time dropped to under 10 seconds, a 99% reduction. The new system also eliminated 30%-40% of manual purchase-to-pay queries.
GSK India Global Services Private Limited – Winner, Service Desk: HelpHub Transformation
The EMEA and APAC Procure-to-Pay Service Desk was constrained by an inefficient operating model. Support was split across multiple hubs, resulting in fragmented ownership, high inter-hub dependencies, and higher costs to serve. Deploying a Gen AI-powered real-time translator and an agentic AI smart query router has sped up response times while cutting costs. In its first three years, HelpHub has saved $4.03 million (£3 million), cut waiting times 40%, raised first-contact resolution from 88% to 93%, and boosted user experience scores from 4.3 to 4.9 out of 5. So far, the return on investment (ROI) has topped 150%, and further upside is expected.
Hitachi Energy – Winner, Plan-to-Source-to-Make-to-Deliver: Agentic AI-Powered Automation of Inbound Delivery Notes and Order Acknowledgments
Hitachi Energy manages one of the world’s most complex supply chains. Its production facilities consist of a web of more than 100 factories with over 20,000 suppliers that annually generate two million inbound delivery lines and around three million purchase order lines yearly. To manage that complexity while ensuring compliance, Hitachi Energy has rolled out an agentic AI solution to automate the end-to-end Inbound Delivery Note (IBDN) and Order Acknowledgment (OA) processes. With this solution, downstream goods are received faster, production disruptions are fewer, and overall compliance risk across the supply chain is lower. Payback for the IBDN system took four months, while for the OA solution, it was less than four months.
IBM – Winner, Risk-to-Compliance: Infusing AI Across the TPRM Lifecycle, Integrated With ProcessUnity
IBM’s global supply chain cyber-risk team was recognized for transforming third-party risk management through a network of specialized AI agents. By automating traditionally manual activities, such as enhancing supplier context, proactively identifying supplier trust and compliance centers, and streamlining assessments, the team reduced cycle time by 50%, enabling analysts to focus on higher-value strategic risk activities.
Infosys – Winner, Order-to-Cash: Agentic AI in Finance
Infosys launched an initiative to transform its order-to-cash operations and accelerate free cash flow, a key chief financial officer (CFO) priority. With accounts receivable (AR) tracking spanning SAP, email, and supplier portals, Infosys BPM identified an opportunity to unify data and modernize collections, and implemented an agentic AI-powered AR overdue management platform built on Infosys Agentic Foundry. The platform orchestrates seven specialized AI agents through a single dashboard to automate overdue tracking across systems while enabling real-time visibility, proactive follow-ups, and end-to-end control. In the first year, the initiative delivered a $62M improvement in free cash flow, a 3.9% reduction in overdue AR, and a 66% reduction in manual processing.
Robert Bosch GmbH – Winner, AI/Automation Center of Excellence: Digital Accelerator Framework (DAF): Commercial Process Reengineering Through AI@Work
Global Business Services at Bosch sought a scalable, process-led approach to identifying and prioritizing high-value AI and automation opportunities across complex global operations. As digital complexity increased, Bosch needed a structured framework to analyze processes and prioritize automation initiatives based on potential value. To address this challenge, Bosch developed the Digital Accelerator Framework (DAF), a structured methodology that includes an AI-powered platform combining process intelligence, lean redesign principles and governed execution to accelerate transformation. The solution was developed by the Bosch Digital Talent Academy, an internal program focused on developing young talent with strong capabilities in software development, data and Al. DAF delivered payback within six months by identifying high-impact automation opportunities and measurable productivity improvements across commercial operations.
Sanofi – Winner, Source-to-Purchase: Procurement Data Booster
Procurement Data Booster exemplifies Sanofi’s business-led, data-driven, and AI-powered approach by transforming heterogeneous documents into accessible, actionable procurement intelligence and unlocking insights from unstructured data that was previously unavailable for systemic analytics. The solution addresses a common challenge, whereby critical information is embedded in contracts, emails, and other records that are not easily captured through traditional reporting tools. Procurement Data Booster has reduced the cycle time for the generation of procurement insights by over 85% and considerably enhanced the quality of decision-making, enabling significant additional value creation.
Sidetrade – Winner, Technology Operations: Agentic Operating Model: How Sidetrade Rebuilt Its Enterprise Around AI
Sidetrade, an order-to-cash intelligence company, sells agentic AI to large enterprises and now runs on it. Rather than adding coding assistants to unchanged processes, it redesigned how software gets built, embedding autonomous AI agents at every delivery stage. The new AI operating model was fully rolled out across their 150-person product and engineering organization, following an initial pilot completed in summer 2025. The gains have been exponential. A feature once scoped 80 person-days now delivered in three, throughput up 26X, with quality gates ensuring speed never costs control. Sidetrade is extending this agentic transformation to customer operations, sales, support and finance, each wave self-funding the next.
The judges also named three finalists:
Ferring Pharmaceuticals – Finalist, Purchase-to-Pay: Agentic AP Fusion: AI Automation for ZeroTouch P2P, Powered by Genpact
Ferring’s accounts payable (AP) function manually processes over 165,000 invoices per year, relying heavily on manual controls, which impacted supplier statement reconciliation and the accuracy of invoice data capture, resulting in increased operational costs and duplicate payments. To solve these problems, the company embedded two AI-powered automation solutions into the procure-to-pay process. The benefits have included elimination of duplicate and erroneous payments, a 60% reduction in manual effort for data capture, and significant savings from efficiency gains, including more efficient working capital.
GSK – Finalist, Source-to-Purchase: Digital Procurement Transformation
GSK was recognized for its innovative approach to enhancing operational efficiency and driving value through digital procurement transformation. GSK consolidated fragmented legacy systems into a unified, AI-powered source-to-pay ecosystem, integrating vendor data, workflows, and a control tower for real-time oversight. This platform, with its supplier portal, real-time invoice tracking, automatic translations and multi-user support, helps GSK’s teams and partners work more efficiently to help deliver vital medicines and vaccines globally.
Tetra Pak – Finalist, Source-to-Purchase: SuM Data Agent
Tetra Pak’s procurement teams faced fragmented data across purchasing, spend and market sources – resulting in slow, inconsistent and intuition-driven decisions. The SuM Data Agent solves this by introducing a conversational AI layer that unifies these domains and delivers instant, traceable insights. Acting as a personal senior analyst, it enables users to validate price changes, detect contract leakage, identify cost savings, prepare negotiations and simulate future scenarios. The solution improves negotiation outcomes and accelerates decision-making by up to 40%. By transforming complex data into clear, actionable intelligence, Tetra Pak drives faster, more confident decisions – unlocking exceptional value, with a projected ROI exceeding 6,000%.
The 2026 submissions reveal a clear playbook for AI success and best practices: prioritize workforce and process transformation over technology adoption, and redesign how work gets done so AI can assist, augment, and act autonomously to deliver measurable business outcomes at scale.
“The winners are proving that AI value comes from redesigning work, not just deploying technology,” said Kyle McNabb, principal and program leader for AI Applied Intelligence at The Hackett Group®. “By embedding AI into workflows and operations, they are delivering measurable performance gains, sustainable ROI and real enterprise value.”
“Organizations are viewing AI as an enabler of enterprise transformation,” added Vin Kumar, principal, AI Enablement and Digital Operations practice at The Hackett Group®. “Moving beyond back-office efficiency, many are now identifying breakthrough opportunities across revenue-generating and R&D functions.”
The 2026 Hackett Innovation Awards highlight how leading organizations are transforming AI from experimentation into scalable enterprise performance advantage.
About The Hackett Group®
The Hackett Group, Inc. (NASDAQ: HCKT) is an ROI-led, AI enterprise transformation firm that helps clients enable AI world-class performance. Its experts and engineers leverage proprietary AI delivery platforms – Hackett AI XPLR™, ZBrain™, XT™, AIXelerator™ and AskHackett™ – to accelerate and enhance the delivery of the company’s solutions and services.
The AI platforms are powered by the company’s domain-specific Hackett Solution Language Model informed by Hackett Process and Performance Intelligence – including Digital World Class® benchmark metrics, best-practice process flows and service delivery model solution frameworks, which accelerate and enhance the delivery of its services. The Hackett Group’s proprietary insights are based on benchmarking results from leading global organizations, including 98% of Dow Jones Global Titans, 97% of the Dow Jones Industrials and 90% of the Fortune 100. Visit www.thehackettgroup.com
Trademarks
The Hackett Group®, quadrant logo, and Digital World Class® are the registered marks of The Hackett Group®.
This release contains “forward-looking” statements within the meaning of Section 27A of the Securities Act of 1933 as amended and Section 21E of the Securities Exchange Act of 1934, as amended. Statements including without limitation, words such as “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” or other similar phrases or variations of such words or similar expressions indicating, present or future anticipated or expected occurrences or outcomes are intended to identify such forward-looking statements. Forward-looking statements are not statements of historical fact and involve known and unknown risks, uncertainties and other factors that may cause the Company’s actual results, performance or achievements to be materially different from the results, performance or achievements expressed or implied by the forward-looking statements. Factors that may impact such forward-looking statements include without limitation, the ability of The Hackett Group® to effectively market its digital transformation services, our ability to transition our capabilities to support generative artificial intelligence (AI)-related consulting services and solutions and other consulting services, our ability to effectively integrate acquisitions into our operations, our ability to manage joint ventures and successfully cooperate with our joint venture partners, competition from other consulting and technology companies that may have or develop in the future, similar offerings, the commercial viability of The Hackett Group® and its services as well as other risk detailed in The Hackett Group’s reports filed with the United States Securities and Exchange Commission. The Hackett Group® does not undertake any duty to update this release or any forward-looking statements contained herein.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260624315179/en/
TEL AVIV, Israel, June 16, 2026 (GLOBE NEWSWIRE) -- As travel companies face increasing pressure to improve margins in a highly competitive market, new data from Mize suggests AI-powered revenue optimization has become a major source of profit recovery across the industry.
Marking its 10th anniversary, Mize revealed that its platform has generated more than $596.2 million in incremental profit for over 350+ travel companies worldwide, optimising more than 7.1 million bookings across $4.5 billion in booking value.
The figures offer a snapshot of a broader shift taking place across travel distribution. Over the past decade, travel companies have increasingly moved away from static pricing and manual revenue management toward AI-driven systems capable of making real-time commercial decisions throughout the booking lifecycle.
"When we launched in 2016, many travel businesses accepted revenue leakage as a cost of doing business," said Dor Krubiner, co-founder and CEO of Mize. "Today, AI allows companies to identify and capture revenue opportunities automatically, often in milliseconds."
The company's growth mirrors wider changes in the travel technology sector. What began as a hotel-focused optimization platform has evolved into a broader travel revenue infrastructure provider spanning hotels, flights, fintech, and partner distribution networks.
Industry observers point to growing margin pressure, rising customer acquisition costs, and increased competition as key factors driving adoption of automated revenue optimisation technologies.
According to Mize data, the company has grown from generating its first $1 million in partner profit recovery in 2017 to nearly $600 million cumulatively by 2026, reflecting the increasing role of AI in commercial travel operations.
As the industry enters a new phase of AI adoption, the company believes the next decade will focus less on automation itself and more on autonomous revenue management systems capable of continuously optimising travel products across multiple verticals and channels.
A Decade of Compounding Growth
By 2022, Mize had grown to 150 clients and established a strong presence in China and other global markets. 2023 marked a major turning point. The company rebranded from Hotelmize to Mize, reflecting its evolution from a hotel revenue optimization solution into a multi-vertical travel technology platform. That same year, Mize launched its fintech suite and expanded into East Asia and the U.S. market. In 2025, Mize acquired RightRez and officially launched SmartRate, further strengthening its position as a multi-vertical travel technology company. In 2026, Mize marks its 10th anniversary as a global travel technology company serving hundreds of companies across the world. The platform now powers a growing suite of solutions, including its Partner Network, Smart Rate, and a dedicated flight rate optimization vertical, consolidating Mize's position as the AI-driven revenue infrastructure for travel companies worldwide.
About Mize
Mize is the AI-powered profitability partner for travel companies, helping them unlock new revenue, stabilize margins, and scale operations by improving every stage of the booking cycle. Its AI-driven infrastructure delivers consistent results across hotels, flights, and future verticals, turning marginal gains into long-term competitive advantage. Founded in 2016 and headquartered in Tel Aviv, Mize supports 350+ clients worldwide and has generated hundreds of millions of dollars in incremental profit for the travel industry.
Figurines with computers and smartphones are seen in front of the words "Artificial Intelligence AI" in this illustration taken, February 19, 2024. REUTERS/Dado Ruvic/Illustration/File Photo Purchase Licensing Rights, opens new tab
CompaniesBUDAPEST, June 16 (Reuters) - Increased deployment of AI could unlock €15 billion ($17.42 billion) in productivity gains in Hungary by 2030, McKinsey said on Tuesday.
AI could help Hungary close some of its productivity gap with European neighbours, the consultancy said, while warning that Hungary could fall further behind if AI adoption lags.
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Following are key points from a roundtable discussion of the McKinsey report with top Hungarian executives.
* Andras Becsei, OTP Bank (OTPB.BU), opens new tab deputy CEO: While AI could curb human resources expenses, it could boost operating costs and capital expenditure -- meaning the overall impact could be a transformation, rather than reduction, of costs.
* Peter Nagy, Magyar Telekom (MTEL.BU), opens new tab deputy CEO: AI agents are handling 20% of customer calls, and that is expected to increase. AI has helped cut the time to bring new services to market to around 30 days from 90, while allowing the company to allocate half of its network monitoring staff to more complex operations.
* Gabor Orban, Richter (GDRB.BU), opens new tab CEO: More time is needed to see how much of the hype around AI is justified and whether the productivity gains can be unlocked. The pharma industry has seen several similar upheavals in past decades, such as genomics or digitisation, which have yet to live up to their promises.
* Gergely Bacso, Allianz Hungary (ALVG.DE), opens new tab CEO: Labour costs are only one part of the issue — AI is also a matter of global competition. Cost savings for a U.S. company can be several times more than what a Hungarian one could achieve. Competition will be intense and if Hungary does not act it risks losing out to foreign players for whom adopting AI is more profitable.
($1 = 0.8613 euros)
Reporting by Gergely Szakacs; Editing by Alexander Smith
Our Standards: The Thomson Reuters Trust Principles., opens new tab
Bull statues are placed in font of screens showing the Hang Seng stock index and stock prices outside Exchange Square, in Hong Kong, China, August 18, 2023. REUTERS/Tyrone Siu Purchase Licensing Rights, opens new tab
SummaryCompaniesDeal could launch as early as mid-July, subject to approval, sources sayFundraising target raised after investor demand, source saysZhongji Innolight is already listed in ShenzhenLuxshare separately prepares Hong Kong investor education, source saysSINGAPORE/HONG KONG, June 16 (Reuters) - Chinese optical parts maker Zhongji Innolight (300308.SZ), opens new tab is planning to launch a share listing in Hong Kong as early as mid-July that could raise up to $7 billion, two sources with direct knowledge of the matter said.
The Shenzhen-listed company, which makes optical modules used in AI data centres, initially aimed to raise about $5 billion, but the target has since risen to about $7 billion after strong investor interest during roadshows, one of the people said.
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Zhongji Innolight hopes to receive clearance from Chinese regulators for the second listing by late June, one of the people said. Chinese companies need to complete a listing filing with the China Securities Regulatory Commission before they can sell shares offshore.
The company has confidentially filed for the listing, both sources said.
All the sources declined to be named as the matter is private.
Zhongji Innolight did not immediately respond to a request for comment.
A listing of that size would be Hong Kong's biggest this year and the largest Chinese technology listing in the city in at least the past 12 months, according to LSEG data as of June 11.
It would be more than twice the size of Victory Giant Technology (Huizhou)'s (300476.SZ), opens new tab $2.73 billion Hong Kong second listing in April, currently the biggest Chinese tech share sale in the city over that period, the data showed.
TECHNOLOGY LISTINGS BOOST FOR HONG KONGThe planned listing would help support the revival in Hong Kong's market for Chinese technology share sales.
Chinese technology IPOs and second listings in Hong Kong have raised $11.24 billion so far this year, up from $235.6 million in the same period last year, according to LSEG.
Separately, Shenzhen-listed electronics manufacturer and Apple (AAPL.O), opens new tab supplier Luxshare Precision Industry Co (002475.SZ), opens new tab is preparing investor education for a listing in Hong Kong that could raise about $3 billion, according to the first source who has direct knowledge of the matters. It could launch as early as July, the source said.
Luxshare did not immediately respond to a request for comment.
The company said on June 12 it had received CSRC filing confirmation for a planned Hong Kong listing of up to 441 million shares.
Reporting by Yantoultra Ngui in Singapore and Kane Wu in Hong Kong; Editing by Emelia Sithole-Matarise
Our Standards: The Thomson Reuters Trust Principles., opens new tab
Yantoultra Ngui is the Southeast Asia Deals Correspondent of Reuters in Singapore, covering M&A and capital market activities in a region that is fast emerging as one of the world’s biggest economies. He previously was a reporter at Bloomberg and The Wall Street Journal (WSJ). Notably, he was part of WSJ's team that covered the financial scandal at Malaysian state fund 1MDB, and that won SOPA Excellence in Breaking News award for the coverage of the assassination of Kim Jong Nam, the half-brother of North Korea's leader Kim Jong Un, in Malaysia in 2018. Yantoultra graduated with an MBA in Finance from Universiti Putra Malaysia (UPM) in 2010.
Kane Wu covers M&A, private equity, venture capital and investment banks in Asia. She tracks the region's most high-profile deals, fundraisings as well as investment trends amidst geopolitical, macroeconomic and regulatory changes. She was nominated for a SOPA Excellence in Business Reporting award for coverage of China regulatory crackdown in 2021. Prior to Reuters, she worked at the Wall Street Journal and also wrote about Asia's loan market for Thomson Reuters Basis Point. She is based in Hong Kong.
“According to BCC Research, AI integration is beginning to support smarter treatment processes despite long innovation cycles, regulatory demands and limited data availability in the chemical industry.” June 16, 2026 08:30 ET | Source: BCC Research LLC
Boston, June 16, 2026 (GLOBE NEWSWIRE) -- Artificial intelligence is rapidly transforming the ion exchange materials market, with over $73 million in venture funding deployed across the sector in recent quarters as water scarcity challenges and semiconductor manufacturing demands drive adoption of AI-powered purification solutions. BCC Research's latest analysis, AI Impact on Ion Exchange Materials Market - BCC Pulse Report, reveals how machine learning technologies are revolutionizing material discovery, predictive maintenance, and plant optimization across water treatment and industrial applications.
Key Findings
• Strong investor confidence: $73+ million in combined funding across six key transactions, including JPMorgan Chase's $20M investment in Albert Invent's AI chemical creation platform and Ecolab's $1.8B acquisition of Ovivo's electronics division
• Water scarcity driving innovation: Stringent regulations on energy-efficient water treatment systems and global water challenges creating urgent demand for AI-optimized purification solutions
• Semiconductor manufacturing catalyst: Ultra-pure water requirements in chip production spurring adoption of AI-powered quality control and real-time monitoring systems
• Government infrastructure support: Digital water infrastructure investments and regulatory frameworks accelerating deployment of intelligent treatment systems
• Emerging AI applications: Physics-Enforced Neural Networks (PENN) for material degradation prediction and digital twin technology enabling real-time plant optimization gaining commercial traction
• Market leaders positioning: Ion Exchange India Ltd., Samyang Corporation, Asahi Kasei Corp., and Ecolab leading commercialization efforts alongside AI-native startups like Xatoms and Albert Invent
Strategic Implications
The convergence of water scarcity, regulatory pressure, and semiconductor industry growth is creating a compelling investment thesis for AI-enabled ion exchange materials. Government support for digital water infrastructure, combined with high R&D investment in advanced markets, is accelerating the deployment of machine learning algorithms for predictive maintenance and anomaly detection. The technology is particularly gaining traction in applications requiring ultra-pure water, where AI-powered quality control systems can significantly reduce operational costs and improve efficiency.
However, adoption remains constrained by skilled labor shortages and limited digital penetration in developing regions. The chemical industry's traditionally long innovation cycles and regulatory demands have created lower AI exposure compared to other sectors, though recent funding activity suggests this dynamic is shifting rapidly.
Investment Considerations
The sector presents attractive opportunities for investors focused on industrial digitization and water technology themes. Companies with proven AI capabilities in material science, such as Albert Invent and Xatoms, are attracting significant venture capital, while established players like Asahi Kasei and Ecolab are making strategic acquisitions to build AI competencies. The market's growth is supported by structural drivers including water scarcity and semiconductor manufacturing expansion, though investors should consider execution risks around skilled labor availability and the chemical industry's regulatory complexity. Early-stage companies with proprietary AI algorithms for material discovery and predictive maintenance appear best positioned to capture market share.
About the Report
AI Impact on Ion Exchange Materials Market - BCC Pulse Report provides comprehensive analysis of artificial intelligence adoption trends, investment activity, competitive positioning, and emerging technology applications across the ion exchange materials sector.
About BCC Research
BCC Research provides objective, unbiased measurement and assessment of market opportunities with detailed market research reports. Our experienced industry analysts assess growth trends, identify and evaluate new and changing market opportunities, and provide critical information and innovative decision support tools to help inform the strategic decision-making process.
For media inquiries, email [email protected] or visit our media page for access to our market research library.
Any data and analysis extracted from this press release must be accompanied by a statement identifying BCC Research LLC as the source and publisher.
Contact Data BCC Research LLC 50 Milk St., Ste. 16, Boston, MA 02109 [email protected] | +1 781-489-7301 www.bccresearch.com
BOSTON--(BUSINESS WIRE)--Onapsis, the global leader in SAP cybersecurity and compliance, will launch its latest episode, “When AI Attacks SAP: How Mythos-like AI Models Can Hack SAP Applications,” on June 25, as part of its inaugural docuseries, Hacking and Defending SAP Applications. The third episode comes at a critical time as bad actors are more aggressively exploring new ways to use the heft of frontier and open-source AI models to their advantage and gain access to critical business appli.
Introduces key products including an integrated brain imaging analysis solution for Alzheimer's disease treatment decision-making Expands partnering efforts with global pharmaceutical and biotech companies as well as potential customers, while introducing its ICL services , /PRNewswire/ -- Neurophet (Co-CEOs Jake Junkil Been and Donghyeon Kim), an artificial intelligence (AI) solution company for brain disorders diagnosis and treatment, announced today that it will participate in the 2026 BIO International Convention (BIO USA), which will be held in San Diego, the United States, from June 22 to 25.
Neurophet Showcases Brain Imaging AI Solutions at BIO USA At this year's BIO USA, Neurophet will showcase Neurophet AQUA AD Plus, an integrated brain imaging analysis solution designed to support treatment decision-making for Alzheimer's disease therapies. Neurophet AQUA AD Plus quantitatively analyzes magnetic resonance imaging (MRI) and positron emission tomography (PET) scans to support imaging-based clinical decision-making across the entire treatment journey — from assessing patient eligibility prior to treatment administration, to monitoring treatment-related side effects during therapy, and evaluating therapeutic outcomes after treatment.
Neurophet will operate a booth at the Korea Pavilion jointly organized by the Korea Biotechnology Industry Organization and the Korea Trade-Investment Promotion Agency (KOTRA), where it will showcase Neurophet AQUA AD Plus, along with Neurophet AQUA, a neurodegenerative brain imaging analysis software, and Neurophet SCALE PET, a PET image quantification software.
Through its participation in BIO USA, Neurophet plans to engage in partnering with global pharmaceutical and biotechnology companies as well as potential customers to explore business development collaborations in the imaging contract research organization (CRO) sector. In particular, the company will introduce its imaging core lab (ICL) services for analyzing neuroimaging biomarkers, which are widely used as key indicators in clinical trials for the development of Alzheimer's disease and Parkinson's disease therapies.
"Global demand for Neurophet AQUA AD PLUS is steadily rising among leading medical institutions in the field of imaging analysis for Alzheimer's disease treatments," said Jake Junkil Been, Co-CEO of Neurophet. "Our participation in BIO USA will serve as a catalyst to accelerate business development collaborations in the ICL sector and expand strategic partnerships with major global pharmaceutical companies."
Meanwhile, BIO USA is the world's largest pharmaceutical and biotechnology exhibition, serving as a premier networking platform where industry professionals gather to share the latest biotech advancements and industry trends.
About Neurophet
Neurophet specializes in developing solutions for diagnosis support, treatment guides, and treatment devices targeting brain disorders based on cutting-edge artificial intelligence (AI) technology. The company was founded in 2016 by Co-CEOs Jake Junkil Been and Donghyeon Kim, who developed the next-generation neuro-navigation system.
Major products include brain MRI analysis software "Neurophet AQUA", PET Image Quantitative Analysis Software "Neurophet SCALE PET", Brain imaging treatment planning software for electric and magnetic brain stimulation "Neurophet tES/TMS LAB", Alzheimer's Disease treatment prescription and monitoring software "Neurophet AQUA AD" for tracking treatment efficacy and side effects, and Multiple Sclerosis image analysis software "Neurophet AQUA MS".
Neurophet has set its top priority to helping patients suffering from brain disorders. Based on expertise in neuroscience, Neurophet will continue to challenge and grow to explore the human brain's health and pioneer solutions for brain diseases with AI technology.
NEW YORK, June 16, 2026 (GLOBE NEWSWIRE) -- Yotta 2026 has unveiled the preliminary agenda for the industry’s largest event at the intersection of AI, energy and digital infrastructure. Held Sept. 28-30 at Caesars Forum in Las Vegas, the event will gather more than 6,000 senior leaders, over 200 speakers and more than 250 partners to examine how the infrastructure behind AI gets financed, powered, built and operated at unprecedented scale.
With the agenda now public, attendees have just days to register before early-bird pricing ends June 19.
The program tracks the forces reshaping the industry in real time: AI’s move from building models to running them at scale, the new wave of chips and denser, more power-hungry data centers straining the supply chain and the fight now reaching statehouses and utility commissions over who pays for AI’s power. It also follows the rapid shift toward single companies that combine data centers, power and networks, seen most recently in the launch of Helix Digital Infrastructure, the $10 billion-plus KKR venture whose top two executives are both confirmed to speak.
“Compute, power, networks and capital are converging into single platforms, and everyone in the supply chain, from chipmakers to utilities to construction firms, needs to understand what that means for them,” said George Rockett, co-founder of Yotta. “The challenge is no longer whether AI will create demand. It’s whether the industry can build fast enough to support it.”
Yotta brings the whole ecosystem into one room. More than 200 speakers are already confirmed, including:
Dylan Patel, Founder, CEO and Chief Analyst, SemiAnalysisVladimir Troy, VP of AI Infrastructure, NvidiaChris Malone, Head of Data Centers, OpenAIRam Nagappan, VP of AI Infrastructure, Oracle Cloud InfrastructureAndy Hock, SVP and Chief Strategy Officer, Cerebras SystemsChase Lochmiller, Co-Founder and CEO, CrusoeChris Crosby, CEO, Compass DatacentersJohn Hatem, President, CyrusOneRaman Sharma, Chief Strategy Officer, EquinixAdam Selipsky, Co-Founder and CEO, Helix Digital InfrastructureWaldemar Szlezak, Partner and Global Head of Digital Infrastructure, KKR; Chief Investment Officer, Helix Digital InfrastructureLon Huber, SVP and Chief Planning Officer, Xcel EnergyRebecca Weekly, VP of Infrastructure, GEICO
More than 250 partners have committed to the expo floor, including ABB, AECOM, Bloom Energy, Burns & McDonnell, Cadence, Constellation Energy, Crusoe, CyrusOne, Eaton, ENGIE, Giga Energy, Hitachi Energy, IREN, Johnson Controls, Lambda, ON.energy, Schneider Electric, Siemens Energy, Trane Technologies and Vertiv. Additional speakers and sessions will be announced in the coming months.
Register now to secure your place before early-bird rates expire June 19.
About Yotta 2026
Yotta 2026 (https://yotta-event.com/) will bring together senior executives from critical infrastructure providers, IT hardware and software OEMs, network and telco providers, data centers, hyperscalers, energy leaders, investors and enterprise IT organizations. Co-founded by George Rockett, co-founder of Datacenter Dynamics, and Rebecca Sausner, a global events entrepreneur, Yotta unites the digital infrastructure ecosystem to tackle the industry’s most complex and consequential challenges.
About InfraXmedia
Yotta Events Inc. is owned by InfraXmedia (https://www.infraxmedia.com/) which invests in data-driven B2B media and events platforms that are transforming the way professionals connect with peers, learn and transact across the trillion dollar digital infrastructure segment. The company's portfolio includes DatacenterDynamics [DCD], Data Center Nation, SDxCentral and Yotta Events.
SAN FRANCISCO, June 16, 2026 (GLOBE NEWSWIRE) -- AI/R, a technology company specializing in Agentic AI, announces its commitment to The Climate Pledge, a goal to reach net-zero carbon by 2040 co-founded by Amazon. By signing the Pledge, AI/R accelerates its decarbonization strategy, combining resource-efficient technologies with optimized software development and systems architecture.
“Joining The Climate Pledge highlights that sustainability is a core pillar of our growth. In practice, this directly influences how we design and deploy solutions, aiming for greater operational efficiency and lower energy consumption across all projects,” says Sandra Zanin, Director of Strategic Alliances at AI/R.
Priority initiatives include expanding the use of renewable energy, maximizing resource efficiency in cloud environments, and prioritizing architectures that minimize the need for large-scale, compute-intensive processing.
Joining The Climate Pledge also marks the expansion of the sustainability agenda across the entire AI/R ecosystem, scaling practices that were initially developed at AI/R Compass UOL to all other subsidiaries.
Evolving the Sustainability Agenda
Prior to signing the Pledge, the company had already been improving its carbon accounting and emissions management, backed by third-party audits and assessments such as CDP and EcoVadis.
As part of this journey, AI/R achieved carbon neutrality in Scopes 1 and 2 in 2024—covering direct emissions and electricity consumption across its offices— and is now expanding its impact to encompass its entire value chain.
“At AI/R, we operate under an efficiency-first approach, driven by cloud-native operations, reduced reliance on physical infrastructure, and optimized resource utilization. These factors naturally lead to lower emissions per employee,” Zanin added.
In line with these advancements, the company recently published its Sustainability Report, which outlines the key metrics and guidelines that are shaping corporate decision-making and tracking progress toward its goals over the coming years. Access the full document at https://aircompany.ai/content/dam/sites/our-people/people-experience/documentos/Relat%C3%B3rio%20ESG_%20Compass_2026%20-%20ENGLISH.pdf
About AI/R
AI/R is a technology company specialized in Agentic AI Engineering. Its agentic AI approach drives both software development and strategic business transformation, connecting technical capabilities to concrete and measurable outcomes. This implementation is led by its AI Forward Deployed Engineers—specialists with deep technical expertise and strong business acumen, capable of converting complexity into sustainable impact. With proprietary AI platforms and a network of strategic partners, AI/R amplifies human intelligence, empowers organizations across all industries, and sets new standards for innovation, efficiency, and business productivity.
SAN FRANCISCO, June 16, 2026 (GLOBE NEWSWIRE) -- AI/R Compass UOL, a subsidiary of AI/R—a technology company specialized in agentic AI—, announced today that it has achieved the AWS Business Value Realization Competency. This specialization recognizes AI/R Compass UOL as an AWS Partner that helps customers deliver measurable, post-sales business outcomes from their AWS investments.
Achieving the AWS Business Value Realization Competency differentiates AI/R Compass UOL as an AWS Partner that excels at helping customers define, measure, and achieve business outcomes from their cloud and AI investments. It signals to customers that the Partner brings proven commitment, highly trained and certified teams, and a demonstrated track record of delivering measurable business outcomes—not just technical implementations.
AI/R Compass UOL helps organizations move beyond technical implementations by building Business Value Realization Plans that tie AWS workloads to specific business outcomes, guiding adoption through to measurable results. AI/R Compass UOL brings this approach consistently across engagements, scaling customer success practices to deliver repeatable results.
“Achieving the AWS Business Value Realization Competency validates our commitment to transforming AI investments into measurable business outcomes for our clients,” said Gil Torquato, CEO and Chairman at AI/R. “The combination of AWS solutions and AI/R Compass UOL’s execution model brings together technical expertise, close alignment with business teams, and ongoing monitoring of the operational impact generated, paving the way for the secure, scalable adoption of advanced artificial intelligence and autonomous agents.”
AWS allows scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, the AWS Competency Program helps customers identify AWS Partners with deep industry experience and expertise. Aligned with this approach, AI/R Compass UOL’s strategy is structured around a single core capability: Agentic AI Engineering, which brings together software development, the creation and orchestration of multiple intelligent agents, and their direct application within the global operations of hundreds of organizations.
About AI/R Compass UOL
AI/R Compass UOL is a subsidiary of AI/R, a technology company specializing in agentic AI. As an Amazon Web Services (AWS) Premier Partner, the highest partnership tier within the AWS ecosystem, AI/R Compass UOL brings together eleven technical competencies, including the latest in generative AI and agentic AI. The company also has more than 1,900 AWS-certified professionals and has received numerous awards and recognitions, including the AWS SI Partner of the Year award for Brazil and Latin America, which it has won five times.
NEW DELHI, DL, June 16, 2026 (GLOBE NEWSWIRE) -- NEW DELHI, DL - June 16, 2026 - -
AI Search Is Reshaping How Potential Clients Find Law Firms, According to New Analysis from JDM Web Technologies
As artificial intelligence continues to transform online search behavior, law firms face a rapidly changing digital landscape where visibility is increasingly influenced by AI-generated recommendations rather than traditional rankings alone.
A new analysis from JDM Web Technologies explores how AI-powered search platforms, including Google AI Overviews, ChatGPT, Gemini, Microsoft Copilot, and Perplexity, are changing the way prospective clients discover and evaluate legal service providers. As consumers increasingly ask AI-powered platforms questions such as "Who is the best personal injury lawyer near me?" or "Which law firm has the strongest reputation for family law?", legal practices must adapt their marketing strategies to remain competitive.
For years, law firms focused on ranking highly in traditional search engine results. Today, AI-powered search experiences are introducing a new layer of visibility. Instead of displaying a list of websites, AI systems often provide direct answers and recommendations based on a combination of authority, expertise, reputation, reviews, and trust signals. This shift is changing how law firms attract prospective clients online.
According to the analysis, several factors are becoming increasingly important for legal professionals seeking stronger visibility across AI-powered search platforms. Law firms that consistently publish educational resources, legal insights, case studies, and practice-area content often demonstrate stronger topical authority. Review quality, quantity, and consistency continue to influence how businesses are perceived by both consumers and search technologies. Google Business Profile optimization, local citations, service-area relevance, and geographic authority remain essential components of online visibility. Law firms that earn mentions from trusted legal publications, organizations, and reputable websites often develop stronger authority signals. In addition, AI systems increasingly rely on structured information to understand attorneys, practice areas, business entities, and service locations.
As legal competition continues to increase online, many firms are investing in specialized SEO strategies tailored specifically to the legal industry. JDM Web Technologies supports law firms through industry-focused legal marketing initiatives, including AttorneysSEOAgency.com, LawFirmsSEOMarketing.com, and TheLawyersSEO.com. These platforms provide insights, strategies, and resources designed to help legal professionals strengthen their online visibility, improve authority signals, and attract qualified leads in an increasingly AI-driven search environment.
"Search is evolving from a keyword-focused experience into a trust-focused experience," said Naveen Kumar, Founder of JDM Web Technologies and a digital marketing strategist with more than 17 years of experience in SEO, Local SEO, and AI search optimization. Throughout his career, he has helped businesses across multiple industries improve online visibility, generate qualified leads, and adapt to evolving search technologies.
"Law firms that establish authority, publish valuable content, build strong reputations, and maintain a credible digital presence are more likely to benefit as AI-powered search continues to influence how consumers discover legal services."
The analysis recommends that law firms focus on publishing authoritative legal content, strengthening review acquisition efforts, improving local SEO signals, building industry authority, earning mentions from trusted sources, and optimizing their digital entity presence. As AI-powered search becomes increasingly influential, legal practices that invest in long-term authority and trust-building strategies may gain a significant competitive advantage.
JDM Web Technologies is a digital marketing agency specializing in SEO, Local SEO, AI SEO, content marketing, and lead generation strategies. The company helps businesses improve visibility in traditional search engines and emerging AI-powered search platforms through data-driven digital marketing solutions.
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For more information about JDM Web Technologies, contact the company here:
JDM Web Technologies
Naveen Kumar
9871530322 [email protected]
S-128, Street No 3, Raja Puri Vishwas Park Extension Uttam Nagar, New Delhi, Delhi, 110059
Washington, D.C., June 16, 2026 (GLOBE NEWSWIRE) -- The artificial intelligence boom is showing up in an unexpected place, the household electric bill, and financial researcher Jim Rickards says the story runs deeper than power rates. In a new free presentation, he follows the strain on America's grid down to the metals required to build it.
The Strain
Peer reviewed research from North Carolina State University and partner institutions projects that electricity demand from data centers could raise U.S. power costs by a national average of 6%–29% by 2030 and by up to 57% in some regions. The finding is contested, some utility-backed analyses argue data centers are not the main driver but it has put household bills squarely in the debate.
Lawrence Berkeley National Laboratory estimates data-center demand could reach 6.7%–12.0% of total U.S. electricity consumption by 2028, up from about 4.4% in 2023. However it lands on any one bill, that demand has to be met and meeting it means building a great deal of new grid.
The metal that grid runs on is already tightening. Morgan Stanley forecasts a roughly 600,000 tonne refined copper deficit in 2026, the largest in more than two decades, as mine disruptions and limited new supply collide with demand that S&P Global projects could rise 50% by 2030. Rickards uses that supply-demand gap to make his central point: the constraint on the AI build-out may be physical, not financial.
A Pattern Worth Understanding
Rickards draws a direct comparison to a situation that played out during Trump's first term. Weeks before the 2024 election, a plan to privatize Fannie Mae began circulating. The company had been bailed out by the government after the 2008 financial crisis and shares had collapsed, trading for a fraction of what the business was actually worth. Rickards says he recommended shares to a group of his readers before the news broke wide. In the year that followed, shares climbed more than 1,000%.
His point is not that history repeats exactly. It is that the setup rhymes. When a real asset is being held back by a government decision rather than any flaw in the underlying business, the market tends to misprice it heavily until that decision changes. Rickards believes the copper sitting inside this one blocked American deposit is in the same position today. The asset is real, the demand is growing, and the only thing holding the price down is a regulatory decision he expects to shift.
Why It Matters to You
Here is the part that reaches beyond the monthly bill: you cannot move that much new electricity without enormous quantities of copper, and a build-out of this scale runs straight into the question of where that copper comes from. The AI story everyone is watching may depend on a metals story almost no one is and the companies that supply those metals, along with the cost of power itself, touch ordinary households and portfolios alike.
For an investor, that reframes the obvious question, not "which AI company wins," but "what does the whole build out physically require, and who supplies it?"
About the Presentation
Rickards follows the copper shortage, the AI grid demand, and the U.S. deposit he believes sits at the center of both in a free presentation now available online. Click here to watch.
About Jim Rickards and Paradigm Press
Jim Rickards has advised the U.S. Treasury, the Federal Reserve, the White House, and the Department of Defense across five decades in government and finance. He later built financial threat detection systems for the CIA and designed the Pentagon's first financial war games. In 2007, he delivered formal testimony to the U.S. Treasury warning of the conditions that led to the 2008 financial crisis.
Paradigm Press is one of the most widely read independent financial research publishers in the United States, rated 4.8 stars on Google across more than 1,900 reviews. Free from advertiser influence, Paradigm Press is committed to helping everyday Americans understand the forces shaping their wealth.
, /PRNewswire/ -- Shareholder rights law firm Robbins LLP is investigating Blaize Holdings, Inc. (NASDAQ: BZAI) to determine whether certain Blaize Holdings, Inc. officers and directors violated securities laws and breached fiduciary duties to shareholders. Blaize Holdings, Inc. provides artificial intelligence (AI)-enabled edge computing solutions.
In late April 2026, two separate short-seller reports were published within two days of each other, both raising concerns regarding Blaize's customer agreements and business dealings. One report alleged that Blaize had "artificially boosted [its] share price by engaging in a bogus deal with a 4-month-old counterparty whose website features 'products' that appear to be photoshopped to add the Blaize logo." The report focused on Blaize's recently announced agreement with NeoTensr, which Blaize had announced was expected to generate up to $50.0 million in revenue.
A second short-seller report published shortly thereafter called Blaize a fraud and raised additional concerns regarding the Company's prior customer agreements. Following the publication of these reports, Blaize's stock price declined sharply.
What Now: If you lost money in your investment of Blaize Holdings, Inc., contact Robbins LLP for more information about your rights.
All representation is on a contingency fee basis. Shareholders pay no fees or expenses.
Shareholder Information Form
About Robbins LLP: A recognized leader in shareholder rights litigation, the attorneys and staff of Robbins LLP have been dedicated to helping shareholders recover losses, improve corporate governance structures, and hold company executives accountable for their wrongdoing since 2002. Since our inception, we have obtained over $1 billion for shareholders.
To be notified if a class action against Blaize Holdings, Inc. settles or to receive free alerts when corporate executives engage in wrongdoing, sign up for Stock Watch today.
Attorney Advertising. Past results do not guarantee a similar outcome.
PALO ALTO, Calif., June 17, 2026 (GLOBE NEWSWIRE) -- Nubly AI, LLC today opened early access to its dynamic carpooling app in the San Francisco Bay Area, providing commuters with on-demand access to HOV and HOT lanes—without the friction of organizing a traditional carpool. Nubly’s real-time matching pairs drivers and riders along shared route segments in minutes. With three or more occupants, the vehicle qualifies for HOV and HOT lane access and discounted tolls on Bay Area bridges—and every person in the car saves at least 75% on commute costs compared to driving alone. Nubly is free to use; commuters pay only their share of the actual trip cost.
The time savings are the primary headline benefit. On Bay Area corridors like the Dumbarton Bridge, Highway 101, I-880, and I-680, the gap between the general lanes and the HOV/HOT lane can be 30, 45, even 60 minutes each way. Traditional carpooling has always promised exactly this benefit, but coordinating a fixed partner, fixed schedule, and fixed route has kept it impractical for most commuters. Nubly’s on-demand matching removes every one of those barriers.
“We eliminate the hassles associated with forming and being a member of a carpool.”
— Eswar Subramanian, Founder, Nubly AI, LLC
The cost savings are equally significant. While using Nubly, commuters split the actual trip cost calculated using the IRS standard mileage rate, and everyone in the car saves the same percentage — driver and rider alike. With three people in the car, every commuter saves at least 75% on that stretch compared to driving solo. Compared to rideshare platforms that charge a marked-up fare, the savings are even more dramatic.
About Nubly
Nubly is a real-time dynamic carpooling platform built for commuters in Bay Area and beyond. Its matching engine pairs drivers and riders on demand, enabling them to use HOV and HOT lanes and save at least 75% on commute costs compared to driving alone. Nubly AI, LLC is headquartered in Palo Alto, California. Get early access at nubly.ai.
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[url="]The Hackett Group, Inc.[/url] (NASDAQ: HCKT), an ROI-led [url="]AI transformation[/url] firm, today announced it has joined the ServiceNow Partner Progra
Ahead of Cannes Lions 2026, Zeta Global (NYSE: ZETA), the AI Marketing Cloud, announced the expansion of Athena by Zeta⢠to agencies. Athena, Zeta's superint
SINGAPORE--(BUSINESS WIRE)--Boomi, the data activation company for AI, today announced new research commissioned by Boomi and conducted by Omdia showing that despite Asia Pacific's (APAC) rapid artificial intelligence (AI) adoption, a significant number of organisations lack the data architecture needed to achieve measurable return on investment (ROI). The Omdia survey of more than 1,100 senior technology and business decision-makers across Australia, New Zealand, Singapore, Malaysia, and the P.
Toronto, Ontario--(Newsfile Corp. - June 15, 2026) - Atrium Mortgage Investment Corporation (TSX: AI) ("Atrium") announced today that the Toronto Stock Exchange (the "TSX") has accepted a notice filed by Atrium of its intention to make a normal course issuer bid (the "NCIB") with respect to its outstanding common shares.
The notice provides that Atrium may, during the 12 month period commencing June 24, 2026 and ending no later than June 23, 2027, purchase through the facilities of the TSX and/or alternative Canadian Trading Systems up to 4,574,662 common shares in total, being 10% of the "public float" of common shares as of June 9, 2026. The price which Atrium will pay for any common shares will be the market price at the time of acquisition. During the period of this NCIB, Atrium may make purchases under the NCIB by means of open market transactions. The actual number of common shares which may be purchased pursuant to the NCIB and the timing of any such purchases will be determined by senior management of Atrium. The average daily trading volume from December 1, 2025 to May 31, 2026 was 120,538 common shares. Daily purchases under the NCIB will be generally limited to 30,134 common shares, other than block purchases. All shares purchased by Atrium under the NCIB will be cancelled.
As of June 9, 2026, there were 48,239,689 common shares of Atrium outstanding, and the public float was 45,746,628 common shares.
Atrium may purchase its common shares, from time to time, if it believes that the market price of its common shares is attractive and that the purchase would be an appropriate use of corporate funds and in the best interests of Atrium.
In connection with the NCIB, Atrium has entered into an automatic share purchase plan ("ASPP") with a designated broker to facilitate the purchase of common shares under the NCIB, including at times when Atrium would ordinarily not be permitted to purchase its common shares due to regulatory restrictions or self-imposed blackout periods. During restricted or blackout periods, purchases under the ASPP will be determined by the designated broker in its sole discretion based on the purchasing parameters set by Atrium in accordance with the rules of the TSX, applicable securities laws and the terms of the ASPP. Outside of the restricted and blackout periods, the timing and amount of purchases under the NCIB will be determined by senior management of Atrium. The ASPP has been pre-cleared by the TSX and will become effective on June 24, 2026, concurrently with the commencement of the NCIB. All purchases made under the ASPP will be included in computing the number of common shares purchased under the NCIB.
Pursuant to a previous notice of intention to conduct a NCIB, under which Atrium sought and received approval from the TSX to purchase up to 4,512,672 common shares for the period of June 24, 2025 to June 23, 2026, Atrium has not purchased for cancellation, as of June 9, 2026, any common shares. Atrium's previous NCIB expires on June 23, 2026.
About Atrium
Canada's Premier Non-Bank Lender™
Atrium is a non-bank provider of residential and commercial mortgages that lends in major urban centres in Canada where the stability and liquidity of real estate are high. Atrium's objectives are to provide its shareholders with stable and secure dividends and preserve shareholders' equity by lending within conservative risk parameters.
Atrium is a Mortgage Investment Corporation (MIC) as defined in the Income Tax Act (Canada), so is not taxed on income provided that its taxable income is paid to its shareholders in the form of dividends within 90 days after December 31 each year. Such dividends are generally treated by shareholders as interest income, so that each shareholder is in the same position as if the mortgage investments made by the company had been made directly by the shareholder. For further information, please refer to regulatory filings available at www.sedarplus.ca or Atrium's website at www.atriummic.com.
Forward-Looking Statements
This press release contains statements that constitute "forward-looking statements" within the meaning of applicable securities legislation, including, but not limited to, statements relating to future purchases of common shares under the NCIB, including pursuant to the ASPP. Much of this information can be identified by words such as "expect to," "expected," "will," "estimated" or similar expressions suggesting future outcomes or events. Atrium believes the expectations reflected in such forward-looking statements are reasonable but no assurance can be given that these expectations will prove to be correct and such forward-looking statements should not be unduly relied upon.
Forward-looking statements are based on current information and expectations that involve a number of risks and uncertainties, which could cause actual results or events to differ materially from those anticipated. These risks include, but are not limited to, risks associated with Atrium' financial condition and prospects; the stability of general economic and market conditions; interest rates; the availability of cash for repurchases of outstanding common shares under the NCIB; the existence of alternative uses for Atrium's cash resources which may be superior to effecting repurchases under the NCIB; compliance by third parties with their contractual obligations; compliance with applicable laws and regulations pertaining to the NCIB and ASPP; and other risks related to Atrium's business, including those identified in Atrium's annual information form for the year ended December 31, 2025 under the heading "Risk Factors" (a copy of which may be obtained at www.sedarplus.ca) and subsequent filings. Forward-looking statements contained in this press release are made as of the date hereof and are subject to change. All forward-looking statements in this press release are qualified by these cautionary statements. Unless otherwise required by applicable securities laws, we do not intend, nor do we undertake any obligation, to update or revise any forward-looking statements contained in this press release to reflect subsequent information, events, results or circumstances or otherwise.
For further information, please contact
To view the source version of this press release, please visit https://www.newsfilecorp.com/release/301486
Source: Atrium Mortgage Investment Corporation
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“The Pulse Report highlights AI’s growing role in preclinical and translational development as biopharma companies seek competitive advantage in bispecific antibodies.” June 15, 2026 10:54 ET | Source: BCC Research LLC
Boston, June 15, 2026 (GLOBE NEWSWIRE) -- Artificial intelligence is rapidly transforming bispecific antibody development as pharmaceutical companies deploy advanced computational platforms to address mounting clinical risks and manufacturing complexities. BCC Research's new AI Impact on Bispecific Antibodies Market - BCC Pulse Report examines how leading drugmakers are leveraging AI to optimize dual-target engagement, predict immunogenicity risks, and accelerate capital-efficient biologics development across increasingly competitive oncology markets.
Key Findings
• Investment momentum accelerates: Takeda's multi-year AI platform collaboration carries potential milestone commitments exceeding $1 billion, while Sanofi allocated approximately $125 million upfront for AI-engineered bispecific programs
• Clinical risk mitigation drives adoption: AI-powered prediction models target cytokine release syndrome risks in T-cell engaging formats, addressing late-stage failure patterns that have historically plagued bispecific development
• Manufacturing complexity catalyzes computational solutions: Expression balance, aggregation, and purification challenges are driving AI-enabled developability screening to prevent costly late-stage manufacturability issues
• Target pair optimization emerges as competitive differentiator: Machine learning platforms integrating multi-omics data enable more precise dual-target engagement strategies versus traditional monoclonal antibody approaches
• Regulatory expectations shape AI implementation: Growing requirements for model transparency and explainability influence platform architecture across major pharmaceutical partnerships
• Market leaders accelerate AI integration: Pfizer, Sanofi, Roche/Genentech, Novartis, Amgen, Regeneron, Takeda, WuXi Biologics, and Chugai Pharmaceutical lead deployment across internal R&D platforms and strategic collaborations
Strategic Implications
The convergence of bispecific antibody complexity and AI capabilities represents a fundamental shift in biologics development paradigms. Growing immunogenicity risks and narrow therapeutic windows in immune-engaging formats are compelling pharmaceutical companies to adopt computational biology platforms for structural prediction and safety optimization. This trend reflects broader industry recognition that traditional trial-and-error approaches cannot adequately address the precision required for dual-target antibody engineering while maintaining acceptable development timelines and capital efficiency.
Partnership-led investment strategies are emerging as the dominant model, enabling large pharmaceutical companies to access differentiated AI capabilities while sharing early development risks. The focus on immune-biology modeling, protein engineering, and molecular optimization underscores the industry's commitment to addressing core technical challenges that have historically limited bispecific antibody success rates.
Investment Considerations
The AI-bispecific antibody convergence presents significant upside for investors positioned across computational biology platforms and next-generation antibody engineering companies. Venture capital is increasingly prioritizing biotechnology firms with scalable bispecific platforms integrating AI capabilities, while strategic corporate investors deploy minority investments to access differentiated technologies. However, regulatory uncertainty around AI explainability requirements and resource dilution across large bispecific portfolios represent key risk factors. Companies demonstrating clear AI-driven differentiation in target pair prioritization and manufacturability optimization appear best positioned to capture partnership premiums and milestone-driven value creation.
About the Report
The report provides comprehensive analysis of AI adoption patterns, investment flows, competitive positioning, and strategic implications across bispecific antibody development from 2024-2030. AI Impact on Bispecific Antibodies Market - BCC Pulse Report* examines technology integration strategies, partnership structures, and market positioning across leading pharmaceutical and biotechnology companies.
About BCC Research
BCC Research provides objective, unbiased measurement and assessment of market opportunities with detailed market research reports. Our experienced industry analysts assess growth trends, identify and evaluate new and changing market opportunities, and provide critical information and innovative decision support tools to help inform the strategic decision-making process.
For media inquiries, email [email protected] or visit our media page for access to our market research library.
Any data and analysis extracted from this press release must be accompanied by a statement identifying BCC Research LLC as the source and publisher.
Contact Data BCC Research LLC 50 Milk St., Ste. 16, Boston, MA 02109 [email protected] | +1 781-489-7301 www.bccresearch.com
Item 1 of 2 A person uses a smartphone in Manhattan, New York City, U.S., February 11, 2022. REUTERS/Andrew Kelly/File Photo
[1/2]A person uses a smartphone in Manhattan, New York City, U.S., February 11, 2022. REUTERS/Andrew Kelly/File Photo Purchase Licensing Rights, opens new tab
NEW YORK, June 15 (Reuters) - U.S. shoppers who use large language models, including Google's (GOOGL.O), opens new tab Gemini or OpenAI's ChatGPT, for purchase recommendations are lingering more on retailers' websites and are more likely to spend, according to May data from Adobe Analytics.
Consumers who are referred to retail websites from LLMs generated 53% more revenue per visit than shoppers from non-AI sources, the data firm said, emphasizing the need for brands to invest in AI-readable webpages.
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Retailers whose products show up in LLM suggestions are able to "drive more personalization" to shoppers who leave the platforms to complete their purchases on the native websites, Vivek Pandya, director of digital insights at Adobe, said.
AI traffic to retail websites increased 138% in May from last year, the highest share of total retail visits since Adobe Analytics began tracking in October 2024.
Retail website visitors recommended by AI converted at a rate 54% higher than online shoppers from non-AI sources did in May.
Shoppers referred to e-commerce websites spent 53% more time on the sites than visitors from other sources.
AI-referred shoppers also visit more retail webpages than non-AI referred visitors.
Reporting by Arriana McLymore in New York City; Editing by Sonali Paul
Our Standards: The Thomson Reuters Trust Principles., opens new tab
Arriana McLymore is a New York-based reporter covering e-commerce, online marketplaces, alternative revenue streams for retailers and in-store innovation. She previously reported on telecoms and the business of law.
ORLANDO, Fla., June 15, 2026 (GLOBE NEWSWIRE) -- The AI Native Accounting Foundation announced the winners of its inaugural AI Native Accounting Awards, honoring firms and practitioners who are moving AI in accounting from experimentation to measurable, responsible implementation in real-world environments. Winners were recognized live on the keynote stage at Scaling New Heights, held June 14–16, 2026, in Orlando, FL.
Winners were selected by the Foundation’s Advisory Council, a group of respected leaders who reviewed nominations and applied a consistent rubric focused on measurable outcomes, governance, and replicability. The awards recognize outcomes that matter: improved capacity, new service models, better client experiences, and approaches that other firms can realistically learn from and replicate.
“These are not innovation theater awards,” said Kacee Johnson, Executive Director of the AI Native Accounting Foundation. “Every one of this year’s winners showed us what it actually looks like to move from AI curiosity to AI in practice. They are approaching AI use thoughtfully, documenting what worked, and sharing their lessons learned. That’s the work we’re here to celebrate, study, and share so others in the profession can learn from it.”
Award Winners
Individual Award for AI Innovation — Angel Zhen, CPA
Angel Zhen, CPA was recognized for demonstrating what responsible, high-performance AI adoption looks like at the individual practitioner level — and for proving the model is transferable. Zhen runs a multi-six figure solo practice with no employees and more than 300 clients nationwide, while maintaining twelve weeks off annually.
Firm Award for Strategy & Governance — CBIZ
CBIZ, Inc. was recognized for building one of the most comprehensive AI governance frameworks in the profession to enable their AI strategy. CBIZ built a cross-functional AI Governance Council, a formal AI Usage Policy, and structured training programs grounded in internationally recognized standards — including the NIST AI Risk Management Framework and OECD AI Principles. CBIZ developed their platforms with Microsoft AI and logged over one million AI-assisted interactions since launch. The award reflects not just scale, but the deliberate infrastructure CBIZ built around responsible deployment.
Small Firm Award for Strategy & Governance — Financial Optics
The Foundation recognized Financial Optics, a boutique accounting and advisory firm for demonstrating that AI governance is achievable at the smallest firm scale. The three-person firm built its adoption on a documented AI Acceptable Use Policy and an AI Tool Decision Framework mapping tool categories against client-data sensitivity — governance developed alongside deployment rather than after it. The award reflects an approach other small firms can realistically replicate.
Firm Award for AI Implementation — Armanino
Armanino was honored for the internal build and firm-wide rollout of Requirements Miner, a purpose-built, multi-agent AI application that fundamentally changed how the firm conducts client discovery. Consultants who previously had to split their attention between facilitating conversations and taking notes can now focus entirely on the client — with Requirements Miner capturing, analyzing, and drafting requirements in real time. Every output is traceable to its source in the conversation, which Armanino calls “glass box AI.” The results have been concrete: approximately a 40% reduction in requirements development time, one to two weeks eliminated from the discovery phase per engagement, and near-zero loss of requirements.
Barry Brown, who sits on the Foundation’s Advisory Council, remarked on the nominations and review process: "What stood out most in reviewing this inaugural group of award recipients is how broad the field of AI adoption has become. From sole practitioners to top-25 firms, leaders of every size are making meaningful progress. The firms and individuals we recognized are proof that size is no longer a barrier to doing something significant with AI. Whether you're a one-person practice or a national firm, the opportunity is the same, and so is the urgency. There has never been a better time to start."
Scholarship Launch
Building on the inaugural awards, the Foundation also announced that applications for its first scholarship program are now open. Two $5,000 scholarships will be awarded to undergraduate and master’s students enrolled at U.S. colleges or universities for the 2026–27 academic year who are actively building with AI in accounting, tax, audit, advisory, or finance contexts. Applicants submit a working AI use case, a short write-up, and a structured video response. Applications close September 15, 2026. More information and the application are available at www.ainativeaccounting.org.
About AI-Native Accounting Foundation
As an independent nonprofit, the AI Native Accounting Foundation equips firms and finance teams to adopt AI with confidence through education, research, and recognition — moving the profession past hype and into practice. Founded by Kacee Johnson and Bebe Kim, the Foundation exists to create space for honest dialogue, shared learning, and credible examples of real-world AI adoption across accounting, tax, audit, advisory, and finance. Through the AI Native Accounting Podcast, industry awards, research initiatives, and scholarships, the Foundation highlights what’s working, what’s not, and what responsible AI transformation actually looks like inside modern firms and finance teams.
Media contact:
Gina Rezendes
Big Swing Communications
617-640-9278 [email protected]
A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/b116ccf4-cbbb-4036-98de-e329ba4ef88c
The AI Native Accounting Foundation announced the winners of its inaugural AI Native Accounting Awar... The winners, CBIZ, Financial Optics, Armanino, and Angel Zhen CPA, were recognized for measurable pr...
Boston, Massachusetts and Amsterdam, Netherlands, June 15, 2026 (GLOBE NEWSWIRE) -- Food and agriculture has been through a noisy capital cycle. A lot of money chased capital-intensive stories that attempted to rebuild the food system from scratch. Anterra Capital’s view is simpler and more practical. The food system is too large and too entrenched to be replaced, but it can be transformed from within, particularly by companies operating at deep leverage points that can scale on existing industry infrastructure, on economics that make sense from day one.
The close
Fund III's first close, at $100 million against a target of $200 million, marks an important milestone for Anterra. The firm was built on the conviction that the tools that had already transformed other industries — life science tools that reshaped human health, and software that rewired sectors from logistics to financial services — would eventually transition to, and transform, food and agriculture.
“The firm has now successfully navigated two capital cycles in food and agriculture,” said Maarten Goossens, Partner at Anterra Capital. “Each one rewarded the same discipline: backing companies that deliver real returns for their customers and to their investors. What's different this time is that the real-world industries we operate in — large, complex and historically resistant to change — are now ready to be rewired, and the tools to do it have arrived.”
Why Fund III, why now
Food and agriculture remains the largest industry on the planet, roughly $10 trillion in size, employing around 1.3 billion people, nearly 40% of the world's workforce. It is also where a set of structural forces is converging — margin volatility, food security, climate and water constraints, tightening regulation, and health outcomes increasingly tied to what the system produces — each one a reason the old way of operating no longer holds.
Those same forces drew a wave of capital chasing the change they promised. Global investment in food and agriculture technology surged to a historical peak of nearly $52 billion in 2021 before falling back to roughly $16 billion — 2016 levels. Much of that generalist capital backed ambitious, capital-intensive bets that failed to scale: indoor vertical farms, plant-based processed meat alternatives and 10-minute grocery delivery. Anterra took a different approach — backing science-backed companies built on real unit economics and designed to scale through existing industry channels. That retreat of capital from hype back to fundamentals is precisely what now opens the door for disciplined specialists.
And now there is AI — the defining technology shift of our era, and its impact runs deepest in the industries the last generation of software never reached: those which still run on manual workflows, fragmented data and analogue infrastructure. None is larger than food and agriculture. Two engines are now firing at once: vertical AI, the fastest-growing category in enterprise technology with investment tripling in a single year, is finally digitizing how these industries operate; in biology, AI is compressing R&D timelines, shrinking teams and slashing the capital needed to reach a first commercial milestone — unlocking a generation of opportunities that were previously out of reach for venture capital. The capital cycle has cleared the noise. And Anterra has spent twelve years building the knowledge and relationships to deploy into both.
Track record
Anterra's investment thesis has been consistent across two funds — and with valuations reset and AI now changing the economics of building in both software and biology, the moment has finally arrived to deploy it at scale.
Anterra’s first two funds have produced top tier returns and multiple exits, including one of the largest exits ever in early-stage veterinary medicine, a Nasdaq IPO, and several other acquisitions by industry leading strategics across the value chain.
Company-building is a core part of how Anterra operates, deployed where the firm identifies white space the market has not filled. Its first company creation, Enko Chem, is discovering & developing next-generation crop protection chemistry through rational design to replace old, ineffective and unsafe products such as glyphosate, and partnering with key industry leaders, including Syngenta and Bayer Crop Science. Invetx, founded in 2018 and built by the firm from the ground up, applied proven biological approaches from human medicine to veterinary medicine and was acquired by Dechra Pharmaceuticals for over half a billion dollars within 6 years of inception.
Investor base
Anterra's investor base spans institutional investors, food system operators and industry innovators across North America, Europe and APAC. It includes the world's largest food and agriculture bank, one of the largest life sciences investors globally, a leading Asian sovereign wealth fund, and the world's largest animal health company — institutions that understand both the scale of the opportunity and what it takes to capture it. Alongside them sit operators who between them farm more than 13 million acres and include leaders of some of the world's largest CPG, bakery, produce logistics and food retail businesses.
“The vote of confidence from our investor base is what gives this close its weight,” said Adam Anders, Partner at Anterra Capital. “The combination of leading global asset managers, the institutions that know our sector backwards and the operators who farm millions of acres all backing the same thesis is an unrivalled force supporting the Anterra portfolio”.
What’s next
Fund III has already backed Anchr, an AI-native platform modernizing the back office of food distribution — a trillion-dollar industry still running largely on paper — alongside a16z Speedrun. The fund's second investment is Animerra, a veterinary biologics company founded and built by Anterra, applying proven biological approaches to our sector and advancing its science with a lean team at a pace that would not have been possible five years ago.
"We've spent twelve years and two funds proving you can build category-defining companies in food and agriculture — and generate real returns doing it," said Brett Wong, Partner at Anterra Capital. "What's changed is that the world has finally caught up to that thesis. The technology is here, the valuations make sense, and the founders building in this sector are the best we've ever seen. This is the most exciting moment in our firm's history, and Fund III is how we intend to make the most of it."
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About Anterra Capital
Anterra Capital is a specialist venture firm investing in food and agriculture, with offices in Amsterdam and Boston. Founded in 2013, the firm manages over $500 million across three funds. Anterra invests in and builds companies that apply life-science and software innovations to food and agriculture. www.anterracapital.com
Reimagining the role of AI, data and decision intelligence in high-performance sport
, /PRNewswire/ -- Persistent Systems (BSE: 533179) (NSE: PERSISTENT), a global Digital Engineering and Enterprise Modernization leader, today announced a partnership with the San Francisco Unicorns for the 2026 Major League Cricket (MLC) season. Under the agreement, Persistent will serve as an official Re(AI)magining™ Partner within the team's premium partnership tier. The partnership highlights Persistent's focus on bringing AI and data-led innovation into real-world high-performance environments where speed, adaptability and insight define outcomes.
This collaboration aligns with Persistent's strategy to expand its AI-led capabilities in North America and build closer proximity to clients operating in real-time, decision-intensive environments. The partnership will be activated through Persistent's #GameReAImagined campaign, which explores how AI is helping make the hidden layer of the game more visible through performance insights on the field and richer fan experiences off it.
As the Official Re(AI)magining™ Partner, Persistent will explore opportunities with the franchise across data, AI and fan engagement initiatives, extending the relationship beyond sponsorship into potential areas of innovation. With MLC rapidly expanding across key U.S. markets, the partnership creates a compelling environment to demonstrate how intelligence, analytics and technology can shape both performance and fandom.
As part of the partnership, Persistent will have a strong presence across team and digital platforms. The partnership has been designed as an integrated engagement platform, including brand visibility through on-field perimeter boards, team kit branding and a dedicated branded content property, Persistent Coaches' Corner. Together, these elements combine on-field visibility with deeper storytelling and curated interactions. The collaboration also includes a dedicated hospitality suite, creating opportunities to connect with clients and partners in North America within a high-performance setting, including select invite-only experiences to enable deeper engagement.
Sandeep Kalra, Chief Executive Officer and Executive Director, Persistent:
"Cricket, like business, is becoming a game of intelligence as much as execution. The ability to convert data into real-time insight is increasingly the difference between good and great outcomes. At Persistent, we help organizations reimagine how AI creates advantage and this partnership with the San Francisco Unicorns brings that vision to life in a high-performance environment where every decision matters. Together, we have an opportunity to explore how AI can enhance performance, strategy, and fan engagement in new and exciting ways."
David White, CEO, San Francisco Unicorns:
"Sport is evolving quickly, with data and technology playing a bigger role in how teams prepare, compete and engage with fans. Partnering with Persistent gives us an opportunity to explore new ways of applying these capabilities across performance and strategy. We also see strong potential to enhance how fans experience the game as it continues to grow in the United States."
About The San Francisco Unicorns
The San Francisco Unicorns launched in 2023 as one of six founding members of Major League Cricket (MLC), a ground-breaking T20 competition bringing some of world cricket's biggest names to the USA and the Unicorns' home stadium, the Oakland Coliseum. The roster includes Australian international stars Matthew Short and Jake Fraser-McGurk, New Zealand's Finn Allen, and 2019 Cricket World Cup champion Liam Plunkett. Cricket Victoria, the governing body for the sport in the Australian state of Victoria, serves as the Unicorns' high-performance partner.
The team's primary investors are Silicon Valley entrepreneurs Anand Rajaraman and Venky Harinarayan, who are founding partners of data-driven venture firm rocketship.vc, and who previously founded US-focused database technology provider Junglee, which sold to Amazon in 1998 for $250m.
About Persistent
Persistent Systems (BSE: 533179) (NSE: PERSISTENT) is a global services and solutions company delivering AI-led, platform-driven Digital Engineering and Enterprise Modernization to businesses across industries. With over 27,500 employees located in 21 countries, the Company is committed to innovation and client success. Persistent offers a comprehensive suite of services, including software engineering, product development, data and analytics, CX transformation, cloud computing, and intelligent automation. The Company is part of the MSCI India Index and is included in key indices of the National Stock Exchange of India, including the Nifty Midcap 50, Nifty IT, and Nifty Midcap Liquid 15, as well as several on the BSE such as the S&P BSE 100 and S&P BSE SENSEX Next 50. Persistent is also a constituent of the Dow Jones Best-in-Class World Index. The Company has achieved carbon neutrality, reinforcing its commitment to sustainability and responsible business practices. Persistent has also been named one of America's Greatest Workplaces for Inclusion & Diversity 2025 by Newsweek and Plant A Insights Group. As a participant of the United Nations Global Compact, the Company is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption, as well as take actions that advance societal goals. With 468% growth in brand value since 2020, Persistent is the fastest-growing IT services brand in 'Brand Finance India 100' 2025 Report.
www.persistent.com
Forward-looking and Cautionary Statements
For risks and uncertainties relating to forward-looking statements, please visit persistent.com/flcs
