Prentis, a new artificial intelligence research lab focused on computer-use models, is in talks to raise $100 million at a $1 billion valuation, according to people familiar with the discussions reported by TechCrunch. The startup is co-founded by serial entrepreneur Ritankar Das alongside two of Silicon Valley's most prominent operators — LinkedIn co-founder Reid Hoffman and Zynga creator Mark Pincus. For the latest AI startup news on the companies chasing the next wave of autonomous agents, the details below trace Prentis's unusually fast traction.
Betting That Computer Use Beats Coding
Launched in April 2026, Prentis is training models to learn how office workers navigate routine workflows across documents and software systems. Its goal is to build AI agents that can control computers directly to automate those tasks — handling insurance claims, processing customs duty refunds, and chasing down paperwork that would otherwise consume human hours.
The startup is wagering that automating everyday office work will soon outpace software development as AI's largest commercial use case. That is a bold claim at a moment when coding agents dominate headlines, and Prentis is not alone in making it. Anthropic, OpenAI, and Mira Murati's Thinking Machines Lab are all developing agents for computer use. Anthropic has been acquiring talent in the category directly, purchasing the Seattle-based computer-use startup Vercept earlier this year and folding in its founders.
Real Revenue, Aggressive Projections
What sets Prentis apart is the speed of its commercial traction. The company has already signed contracts worth up to $50 million with several customers, including a healthcare management organization, a manufacturer, and goods and clothing manufacturers, according to the sources. Investor materials obtained by TechCrunch project an estimated $75 million annualized run rate by the third quarter of 2026.
Those figures come with caveats. Prentis's pitch deck notes that the numbers reflect estimated annualized value based on a contracted fee equal to 20% of the savings realized — not recognized revenue — and are described as "performance-dependent and subject to final execution." TechCrunch did not independently verify the projections.
A Smaller, Cheaper Model
In its pitch deck, Prentis argues that its edge comes from running a much smaller, cheaper model than its frontier rivals. The company claims its Hive-32B model outperforms OpenAI's GPT-5.4 and Anthropic's Claude Opus 4.6 on two computer-use benchmarks: WindowsAgentArena, which measures end-to-end task completion on real Windows applications, and ScreenSpot-v2, which tests a model's ability to locate the correct on-screen control.
Prentis says its approach costs roughly 10 times less per task than frontier APIs, making it more economical to deploy across high-volume, everyday workflows. TechCrunch noted it could not independently verify the benchmark results. The framing reflects a broader industry bet that smaller, specialized models can win specific tasks even as the largest general-purpose models grow more capable.
The Founders Behind Prentis
The deal underscores how much institutional weight is gathering behind the computer-use thesis. For Hoffman, Prentis is one of several AI bets: he was an early OpenAI investor, co-founded Inflection AI with Mustafa Suleyman before Microsoft absorbed most of that team in 2024, and said last month he was stepping down from Microsoft's board after nearly a decade to go "founder mode" on Manas AI, an AI drug-discovery startup.
CEO Ritankar Das brings an unusually deep technical background. At 31, he is also the founder of Titan, a holding company that builds and operates AI companies and that he has described as an intentional throwback to an old-fashioned model like Berkshire Hathaway — funded by its own exits rather than outside limited partners. Das was UC Berkeley's youngest University Medalist in more than a century, graduating at 18 with a double major in bioengineering and chemical biology before earning a master's in biomedical engineering at Oxford. He founded Titan in 2014 after dropping out of an AI PhD program at Cambridge, where he had been a Gates Cambridge Scholar.
Titan's portfolio gives a sense of the playbook. Its businesses include Tala Health, an AI-powered virtual care provider that raised a $100 million seed round last year, and Forta Health, an autism care startup that raised $55 million led by Insight Partners in 2024. Titan-founded disease prediction company Dascena was acquired by CirrusDx in 2022.
A Crowded, Capital-Intensive Race
Prentis did not respond to TechCrunch's request for comment, and the funding talks could still fall apart or change in size. But the scale of the raise — $100 million at a $1 billion valuation for a company founded just months ago — signals how much capital is flowing toward agents that can operate software on a user's behalf.
The competitive landscape is formidable. Beyond the well-funded incumbents, a growing field of startups is chasing the same prize, and the technical challenges of reliable computer use — handling unpredictable interfaces, fragile workflows, and the long tail of edge cases — remain significant. Whether Prentis's smaller-model, savings-share business model can hold up against rivals with far deeper war chests will be one of the defining questions for the category.
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