Prentis, an AI research lab co-founded by Ritankar Das, Reid Hoffman, and Mark Pincus, aims to raise $100 million to automate routine office tasks.
New Delhi, India Jul 25, 2026 ALN: Prentis, a new AI research lab focused on computer use models, co-founded by serial entrepreneur Ritankar Das and tech heavyweights Reid Hoffman and Mark Pincus, is in talks to raise $100 million at a $1 billion valuation, according to two people familiar with the discussions.
Launched in April, Prentis is training models to learn how office workers navigate routine workflows across documents and systems, with the goal of building AI agents that can control computers to automate those tasks. This initiative is part of a broader trend in the tech industry where automation and AI are increasingly being integrated into everyday business processes to enhance efficiency and reduce operational costs.
The automation of office tasks is not merely a convenience; it represents a significant shift in how businesses operate. By utilizing AI to handle repetitive tasks, companies can free up human workers to focus on more complex and creative aspects of their jobs. This shift could lead to increased productivity and potentially reshape job roles within organizations. Prentis aims to capitalize on this trend by developing agents tailored to specific customer needs, such as handling insurance claims and automating customs duty refund exceptions without needing a human to hunt down paperwork.
The startup has already signed contracts worth up to $50 million with several customers, including healthcare management service organizations, a manufacturer, and goods and clothing manufacturers. This echoes investor materials that predict an estimated $75 million annualized run rate by the third quarter of this year. However, it is important to note that Prentis’ pitch deck indicates that these figures reflect estimated annualized value based on a contracted fee equal to 20% of savings realized, rather than recognized revenue. These projections are also described as “performance-dependent and subject to final execution,” which adds an element of uncertainty to their financial forecasts.
By its own account, Prentis claims that its Hive-32B model outperforms rivals, including 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 right on-screen control. This assertion of superiority is a significant claim in a competitive landscape where numerous companies are vying for leadership in AI technology.
In its pitch deck, the company argues that its edge comes from running a much smaller, cheaper model. In fact, it claims to achieve roughly 10 times lower cost per task than frontier APIs, suggesting that it is more economical to deploy across everyday workflows. However, it is worth noting that the benchmark results have not been independently verified, which raises questions about the validity of these claims. The AI community often emphasizes the importance of transparency and independent validation of performance metrics, and without this, potential investors and customers may approach these assertions with caution.
Prentis is betting that automating everyday office tasks will soon outpace coding as AI’s biggest use case, but it’s a crowded market. Major players like Anthropic, OpenAI, and Mira Murati’s Thinking Machines Lab are also working on developing AI agents for computer use. Notably, Anthropic has been acquiring talent in this category directly, having bought the Seattle computer-use startup Vercept earlier this year. This competitive landscape underscores the challenges that Prentis will face as it seeks to carve out a niche for itself in the AI market.
Despite the competitive environment, Prentis’ leadership brings a wealth of experience and credibility to the venture. Ritankar Das, CEO of Prentis, is also the founder of Titan, a holding company that builds and operates AI companies. Das, now 31, has an impressive academic background, being 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. His entrepreneurial journey began in 2014 when he founded Titan after dropping out of an AI PhD program at Cambridge, where he was a Gates Cambridge Scholar. Das has described Titan as an intentional throwback to an old-fashioned holding-company model like Berkshire Hathaway, one that’s funded by its own exits rather than outside limited partners.
Titan has been involved in launching and operating various businesses, including AI-powered virtual care provider Tala Health, which 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. Additionally, Titan-founded disease prediction company Dascena was acquired by CirrusDx in 2022. This track record of successful ventures adds to the credibility of Prentis as it seeks to establish itself in the AI landscape.
Prentis is a side project for its two other co-founders. Reid Hoffman, the LinkedIn co-founder and Greylock partner, has recently stated his intention to step down from Microsoft’s board after nearly a decade to go into “founder mode” on Manas AI, an AI drug-discovery startup he’s also backing. Hoffman's extensive experience in the tech industry, particularly in the realms of networking and AI, positions him as a valuable asset for Prentis. He was an early investor in OpenAI and co-founded Inflection AI with Mustafa Suleyman before Microsoft absorbed most of that team in 2024. This background not only provides Prentis with strategic insights but also opens doors for potential collaborations and partnerships in the future.
Mark Pincus, the founder of Zynga, now runs the investment firm Reinvent Capital with Hoffman serving as a senior adviser. Pincus has also recently published a memoir titled “Life at the Speed of Play,” which reflects his experiences in the fast-paced world of tech startups and could provide valuable lessons for the Prentis team as they navigate their own entrepreneurial journey.
As of now, Prentis has already hired more than 25 employees, including researchers who previously worked at OpenAI, Google DeepMind, Meta, Tencent, and Alibaba, according to its website. This talent acquisition strategy highlights the company's commitment to bringing together a team of experts who can drive innovation and help establish Prentis as a leader in the AI space. The presence of experienced professionals from leading tech companies suggests that Prentis is serious about competing with established players in the industry and is likely to leverage their expertise to refine its AI models and solutions.
In conclusion, the formation of Prentis and its ambitious plans to raise $100 million at a $1 billion valuation underscore the growing interest in AI-driven automation within the business sector. As the company seeks to develop agents capable of automating routine office tasks, it will face significant competition from established firms while also benefiting from the expertise of its co-founders and team. The implications of its success could be far-reaching, not only for the company itself but also for the broader landscape of AI applications in the workplace, potentially reshaping how businesses operate in the future.
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