Prentis, an emerging AI research laboratory specializing in computer use models, is reportedly in discussions to secure $100 million in funding at a $1 billion valuation. The startup was co-founded by serial entrepreneur Ritankar Das, LinkedIn co-founder Reid Hoffman, and Zynga founder Mark Pincus. According to sources familiar with the negotiations, the company is attracting significant investor interest as it aims to revolutionize how office workers interact with digital systems.
Launched in April, Prentis is training models to learn how office workers navigate routine workflows across documents and systems. The ultimate objective is to build AI agents capable of controlling computers to automate these tasks, potentially saving businesses substantial time and resources. The company's focus on 'computer use' – where AI directly interacts with software interfaces – positions it in a rapidly growing segment of the artificial intelligence industry.
The Founders and Their Vision
Ritankar Das, the CEO of Prentis, brings a prodigious background to the venture. At just 31, he was UC Berkeley's youngest University Medalist in over a century, graduating at 18 with double majors in bioengineering and chemical biology. He later earned a master's degree in biomedical engineering at Oxford and was a Gates Cambridge Scholar before dropping out of an AI PhD program at Cambridge to found Titan in 2014. Titan operates as a holding company that builds and operates AI companies, resembling an old-fashioned model like Berkshire Hathaway, funded by its own exits rather than outside limited partners.
Das has described Titan as a deliberate throwback to traditional conglomerates. Under its umbrella, several businesses have been launched, including 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 secured $55 million led by Insight Partners in 2024. Another Titan-founded venture, Dascena, a disease prediction company, was acquired by CirrusDx in 2022. Prentis is thus part of a larger ecosystem of AI-driven healthcare and automation plays.
Reid Hoffman, a prominent figure in Silicon Valley, co-founded LinkedIn and serves as a partner at Greylock. He has been deeply involved in the AI space, having been an early investor in OpenAI and co-founding Inflection AI with Mustafa Suleyman before Microsoft absorbed most of that team in 2024. Hoffman recently stepped down from Microsoft’s board after nearly a decade to focus on 'founder mode' for Manas AI, an AI drug-discovery startup. His involvement with Prentis represents a strategic bet on the next wave of enterprise automation.
Mark Pincus, the founder of Zynga, brings his experience in scaling consumer-facing products to the enterprise. He now runs the investment firm Reinvent Capital with Hoffman as a senior adviser. Pincus recently published a memoir, 'Life at the Speed of Play,' reflecting on his entrepreneurial journey. Both Hoffman and Pincus are considered key figures who can lend credibility and connections to Prentis as it seeks to compete with larger AI labs.
Market Opportunity and Competition
Prentis is betting that automating everyday office tasks will soon outpace coding as AI’s biggest use case. The market for AI agents that can handle routine workflows is crowded, with major players like Anthropic, OpenAI, and Mira Murati’s Thinking Machines Lab also developing similar capabilities. Anthropic has been particularly aggressive, acquiring the Seattle-based computer use startup Vercept earlier this year and folding in its founders while shutting down its product.
The startup claims its Hive-32B model outperforms rivals on two key computer-use benchmarks. On 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 model surpasses OpenAI’s GPT-5.4 and Anthropic’s Claude Opus 4.6. In its pitch deck, the company argues its edge comes from running a much smaller, cheaper model, roughly 10 times lower cost per task than frontier APIs. TechCrunch has not independently verified these benchmark results.
Prentis has already signed contracts worth up to $50 million with several customers, including a healthcare management service organization, a manufacturer, and goods and clothing manufacturers. Investor materials predict an estimated $75 million annualized run rate by the third quarter of this year, though these figures reflect estimated annualized value based on contracted fees equal to 20% of savings realized, and are performance-dependent and subject to final execution. The startup plans to develop agents tailored to specific customer needs, such as handling insurance claims or automating customs duty refund exceptions without requiring human intervention to hunt down paperwork.
Technical Approach and Team
Prentis’s approach focuses on training models that can learn and replicate the way office workers navigate routine workflows across documents and systems. The company’s Hive-32B model is designed to be more economical to deploy across everyday workflows, making it accessible for businesses looking to automate repetitive tasks. The startup has hired more than 25 employees, including researchers who previously worked at OpenAI, Google DeepMind, Meta, Tencent, and Alibaba, according to its website. This team brings deep expertise in AI research and product development.
The broader context of AI agents for computer use is gaining momentum. As companies seek to reduce operational costs and improve efficiency, the ability to automate complex multi-step processes becomes increasingly valuable. Prentis aims to differentiate itself by focusing on pragmatic, measurable savings for enterprise customers, rather than pursuing general artificial intelligence. The company’s emphasis on cost efficiency could be a significant advantage in a market where API costs for frontier models remain high.
Financial and Strategic Implications
The $100 million fundraising round would value Prentis at $1 billion, marking it as a unicorn in the AI space. This valuation reflects investor confidence in the team and the market opportunity, despite intense competition. The funds would likely be used to scale the engineering team, expand customer acquisition, and further develop the Hive-32B model and its successors.
The involvement of Reid Hoffman and Mark Pincus brings not only capital but also strategic network effects. Hoffman’s connections in the AI and venture capital worlds, combined with Pincus’s experience in scaling consumer technology, could help Prentis navigate the challenges of enterprise sales and product-market fit. The company’s association with Titan also provides a framework for operational support and potential future spin-offs.
As of the time of reporting, Prentis did not respond to requests for comment. The company’s trajectory will be closely watched by industry observers, as it represents a new wave of AI startups focused on practical automation rather than foundational model development. If successful, Prentis could redefine how businesses approach digital transformation, leveraging AI to handle the mundane tasks that consume a significant portion of office workers’ time.
Source: TechCrunch News