Prentis, a new AI research lab co-founded by tech heavyweights Reid Hoffman and Mark Pincus, is in talks to raise $100 million at a $1 billion valuation. The startup aims to build autonomous AI agents that handle routine office workflows, betting that office task automation will soon outpace coding as artificial intelligence’s biggest use case.
Launched in April, Prentis focuses specifically on computer use models. The company trains its models to learn how office workers navigate documents and internal systems. The goal is to deploy AI agents that can directly control computers to automate mundane tasks, such as handling insurance claims and executing customs duty refund exceptions without requiring a human to hunt down paperwork.
AI Agents Gain Early Traction in the Enterprise
Despite being only a few months old, Prentis has already secured contracts worth up to $50 million. Its early customer base includes a healthcare management service organization, a manufacturer, and several goods and clothing manufacturers. According to investor materials, the company projects an estimated $75 million annualized run rate by the third quarter of this year.
Prentis structures its pricing to align directly with client success. The company’s pitch deck notes that its contracted fee equals 20% of the savings realized by the customer. However, the startup clarifies that these figures reflect estimated annualized value rather than recognized revenue, and the projections remain performance-dependent and subject to final execution.
Competing on Cost and Efficiency
The market for computer use models is rapidly becoming crowded, with Anthropic, OpenAI, and Mira Murati’s Thinking Machines Lab all developing similar technologies. Anthropic has even begun acquiring talent directly, purchasing the Seattle-based computer-use startup Vercept earlier this year to fold in its founders and shut down its product.
To carve out market share, Prentis argues that its competitive edge lies in running a much smaller and cheaper model. The company claims its Hive-32B model outperforms rivals, including OpenAI’s GPT-5.4 and Anthropic’s Claude Opus 4.6, on two key computer-use benchmarks. These include 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.
By utilizing a smaller architecture, Prentis claims roughly 10 times lower cost per task than frontier APIs. This cost efficiency makes it more economical to deploy AI agents across everyday enterprise workflows, though the company’s benchmark results have not been independently verified.
Experienced Leadership at the Prentis AI Lab
CEO Ritankar Das brings a deep technical and entrepreneurial background to the Prentis AI lab. Das, now 31, 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 dropped out of an AI PhD program at Cambridge to found Titan in 2014, a holding company that builds and operates AI companies.
Titan operates on an old-fashioned holding-company model funded by its own exits rather than outside limited partners. Previous Titan ventures include AI-powered virtual care provider Tala Health, which raised a $100 million seed round, and Forta Health, an autism care startup. Titan-founded disease prediction company Dascena was acquired by CirrusDx in 2022.
Das leads a rapidly growing team of more than 25 employees at Prentis. The startup has successfully recruited researchers who previously worked at OpenAI, Google DeepMind, Meta, Tencent, and Alibaba.
For Reid Hoffman and Mark Pincus, Prentis serves as a strategic side project. Hoffman, the LinkedIn co-founder and Greylock partner, recently announced he was stepping down from Microsoft’s board to go “founder mode” on Manas AI, an AI drug-discovery startup. He was an early OpenAI investor and co-founded Inflection AI before Microsoft absorbed most of that team. Pincus, the Zynga founder, currently runs the investment firm Reinvent Capital with Hoffman as a senior adviser.
What Happens Next
If Prentis closes this funding round at a $1 billion valuation, the capital will provide the runway needed to scale its engineering and sales teams to meet its ambitious $75 million run rate target. The startup will need to prove that its smaller, cheaper models can reliably handle complex enterprise environments without breaking.
Watch for increased consolidation in the AI agents space. As larger players like Anthropic acquire startups to bolster their computer use models, Prentis will need to move quickly to secure enterprise contracts. Enterprise customers will demand clear return on investment before shifting critical workflows away from human workers, making Prentis’s performance-based pricing model a key differentiator to monitor.
— Derek Kimura, technology desk, AXO News