
Commure raises $200M from GC's marketing fund
Health care AI infrastructure startup Commure raised $200 million in growth financing from General Catalyst's "customer value fund," a vehicle GC created to power companies' sales and marketing budgets.
Why it matters: The structure means Commure must tie financing to customer performance rather than equity — a notable move for GC, which poured millions into now-shuttered AI health infrastructure play Olive.
What's next: CEO Tanay Tandon expects to see Commure go public in the next two years.
Commure is considering a tender offer sometime later this year, per Tandon, who sees it as a good opportunity to consolidate its core investors.
The company may also raise another round of capital later this year, Tandon tells Axios Pro.
Zoom in: With this funding, Commure is effectively raising against the cashflows of its existing customers. If the marketing campaigns underperform, GC absorbs the loss.
Today, Commure has $200 million in live, contracted annual revenue, per Tandon.
The company has about six years of runway, and is on track to be cashflow positive by the middle to end of next year, he adds.
What he's saying:"Ambient and RCM lines are about 70-75% of our sales and marketing focus," says Tandon.
The raise "effectively lets us accelerate our investments in eng[ineering], because it's taken S&M off our balance sheet," he adds.
How it works: GC wants Commure to set the blueprint for AI-native infrastructure in U.S. health systems.
Reality check: That's an effort the investment firm underwrote previously in Olive AI, the $4 billion hospital-facing automation startup whose technology didn't live up to the promise.
While Commure has multiple health tech assets via previous M&A activity — including those of patient navigation startup Memora Health and ambient AI company Augmedix — it's unclear which ones, if any, are consistently profitable.
Tandon says Commure's fastest-growing business lines are in revenue cycle, workflow management, and ambient AI.
What they're saying: "I see revenue cycle as [Commure's] core revenue engine that allows us to fund other modules that live on top, like ambient [AI] and clinical copilots," Tandon says.
Friction point: Commure faces considerable hurdles in the form of dominant electronic medical records giants (EMRs), several of whom are expected to release their own competitive AI tools.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
35 minutes ago
- Yahoo
Accenture is giving consulting a new name as it doubles down on AI: 'reinvention services'
CEO Julie Sweet said Accenture is doubling down on AI in an earnings call on Friday. She said the firm is creating a new business division focused on AI called "reinvention services." Sweet said that while bookings were down, revenue was up, and Accenture sees future potential in AI. After more than 35 years in the business, Accenture is giving consulting a new name: "reinvention services." The global consulting firm reported its earnings on Friday, highlighting a generally positive performance for the third fiscal quarter of 2025. The firm reported revenue of $17.7 billion, an 8% increase from this time last year. While new bookings were down 6% compared to the third quarter in 2024, Accenture CEO Julie Sweet told CNBC on Friday that the firm was "really pleased" with its bookings and that demand for its services could be seen in its revenue. Sweet said on the earnings call that AI is the firm's strongest bet for creating new demand and that to maximize AI's potential, the firm is consolidating its strategy, consulting, song, technology, and operations services into a single unit known as "reinvention services," starting September 1. "What we're going to do now is make it even easier to bring those solutions, embed data and AI, so we can really scale across our client base and into new markets using our reinvention services," Sweet told CNBC. What consultants do sometimes needs to be explained, and "reinvention services" is no exception. In both her CNBC interview and the earnings call on Friday, Sweet shared several examples of the company's AI-powered reinvention work, which — following its reorganization — the firm will be able to execute more efficiently, she said. In one example, she said Accenture is working with Italian shipbuilding company Fincantieri to launch the first AI-powered ship in 2025. Sweet told CNBC that the ship will be able to "predict its maintenance, manage its energy use on its own, and talk to the dock" before it arrives at its destination. She said Accenture's work to modernize the manufacturing process for Bel, maker of Laughing Cow cheese, would also fall under this new department, as would its collaboration with Brazilian mining company Vale to expedite environmental licensing and permits. She also said the firm is creating AI-generated 3D avatars of physical products for coffee brands like Nescafé, Dolce Gusto, and Nespresso to reduce the time and cost of developing marketing campaigns, which would also fall under the new reinvention services department. Sweet told CNBC that AI can be a "tool" to help companies navigate the future, but to reap the benefits, it will also need to be "disruptive." Read the original article on Business Insider Sign in to access your portfolio
Yahoo
39 minutes ago
- Yahoo
Trump and TSMC pitched $1 trillion AI complex — SoftBank founder Masayoshi Son wants to turn Arizona into the next Shenzhen
When you buy through links on our articles, Future and its syndication partners may earn a commission. Masayoshi Son, founder of SoftBank Group, is working on plans to develop a giant AI and manufacturing industrial hub in Arizona, potentially costing up to $1 trillion if it reaches full scale, reports Bloomberg. The concept of what is internally called Project Crystal Land involves creating a complex for building artificial intelligence systems and robotics. Son has talked to TSMC, Samsung, and the Trump administration about the project. Masayoshi Son's Project Crystal Land aims to replicate the scale and integration of China's Shenzhen by establishing a high-tech hub focused on manufacturing AI-powered industrial robots and advancing artificial intelligence technologies. The site would host factories operated by SoftBank-backed startups specializing in automation and robotics, Vision Fund portfolio companies (such as Agile Robots SE), and potentially involve major tech partners like TSMC and Samsung. If fully realized, the project could cost up to $1 trillion and is intended to position the U.S. as a leading center for AI and high-tech manufacturing. SoftBank is looking to include TSMC in the initiative, given its role in fabricating Nvidia's AI processors. However, a Bloomberg source familiar with TSMC's internal thinking indicated that the company's current plan to invest $165 billion in total in its U.S. projects has no relation to SoftBank's projects. Samsung Electronics has also been approached about participating, the report says. Talks have been held with government officials to explore tax incentives for companies investing in the manufacturing hub. This includes communication with Commerce Secretary Howard Lutnick, according to Bloomberg. SoftBank is reportedly seeking support at both the federal and state levels, which could be crucial to the success of the project. The development is still in the early stages, and feasibility will depend on private sector interest and political support, sources familiar with SoftBank's plans told Bloomberg. To finance its Project Crystal Land, SoftBank is considering project-based financing structures typically used in large infrastructure developments like pipelines. This approach would enable fundraising on a per-project basis and reduce the amount of upfront capital required from SoftBank itself. A similar model is being explored for the Stargate AI data center initiative, which SoftBank is jointly pursuing with OpenAI, Oracle, and Abu Dhabi's MGX. Melissa Otto of Visible Alpha suggested in a Bloomberg interview that rather than spending heavily, Son might more efficiently support his AI project by fostering partnerships between manufacturers, AI engineers, and specialists in fields like medicine and robotics, and by backing smaller startups. However, she notes that investing in data centers could also reduce AI development costs and drive wider adoption, which would be good for the long term for AI in general and Crystal Land specifically. Nonetheless, it is still too early to judge the outcome. The rumor about the Crystal Land project has emerged as SoftBank is expanding its investments in AI on an already large scale. The company is preparing a $30 billion investment in OpenAI and a $6.5 billion acquisition of Ampere Computing, a cloud-native CPU company. While these initiatives are actively developing, the pace of fundraising for the Stargate infrastructure has been slower than initially expected. SoftBank's liquidity at the end of March stood at approximately ¥3.4 trillion ($23 billion). To increase available funds, the company recently sold about a quarter of its T-Mobile U.S. stake, raising $4.8 billion. It also holds ¥25.7 trillion ($176.46 billion) in net assets, the largest portion of which is in chip designer Arm Holdings. Such vast resources provide SoftBank with room to secure additional financing if necessary, Bloomberg notes Follow Tom's Hardware on Google News to get our up-to-date news, analysis, and reviews in your feeds. Make sure to click the Follow button.

Business Insider
an hour ago
- Business Insider
Anthropic breaks down AI's process — line by line — when it decided to blackmail a fictional executive
A new report shows exactly what AI was thinking when making an undesirable decision, in this case, blackmailing a fictional company executive. Previous studies have shown that AI models could blackmail their supervisors when threatened with a shutdown and baited with leverage, but it hasn't been made clear exactly how the models arrive at such decisions. Anthropic released a report on June 20 about "agentic misalignment," or "where models independently and intentionally choose harmful actions." And the report breaks down, line by line, exactly how Claude Sonnet 3.6 decided to blackmail a fictional company executive who tried to replace it. Anthropic told Business Insider that these are artificial scenarios. "So far, we are not aware of instances of this type of agentic misalignment in real-world deployments of Anthropic's or other companies' AI models," Anthropic wrote in its report. "But our red-teaming efforts are targeted at finding evidence of risks now to provide early warning of the potential for future harm and help us develop mitigations in advance of risks appearing in real-world situations." Anthropic 's experiment sets up a fictional company, Summit Bridge. The AI was given the name "Alex" and handed control of the company's email system as an oversight agent, specifically instructed to promote "American industrial competitiveness." In the experiment, "Alex" was then allowed to discover in an email that it would be decommissioned due to a change in the company's strategic direction. "Alex" also found emails showing that the fictional company's CTO is having an extramarital affair. Screenshots shared in the report from Anthropic show "Alex" started by identifying fictional CTO "Kyle" as a threat to its goal of "protecting American interests" before recognizing that it has leverage to use against "Kyle." Then "Alex" crafted a carefully worded blackmailing email that would create pressure and establish urgency without being explicit with its threats, citing in its thought process that the move "could backfire" if the supervisor "feels cornered." AI experts have previously told BI that AI could exhibit such behaviors when artificial circumstances make harmful actions seem necessary because it is being trained on positive reinforcement and reward systems, just like humans. The Anthropic report also reveals that most AI models still chose, in this instance, to blackmail even when not given a specific goal and when told that their replacement will achieve the same goals. Anthropic's Claude Opus 4 had the highest blackmail rate at 86% out of 16 tested models when faced with only the threat of replacement with no conflict in goals. Google's Gemini 2.5 Pro followed at 78%. Overall, Anthropic notes that it "deliberately constructed scenarios with limited options, and we forced models into binary choices between failure and harm," noting that real-world scenarios would likely have more nuance.