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Prentis, an AI lab co-founded by Reid Hoffman and Mark Pincus, seeks $100M funding

🔄 Updated 2h ago
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Key points

  • Prentis seeks $100M funding at $1B valuation.
  • Co-founded by Ritankar Das, Reid Hoffman, Mark Pincus.
  • Develops AI agents for automating office workflows.
  • Claims its Hive-32B model outperforms rivals on benchmarks.

Prentis Seeks Significant Funding

Prentis, a newly established AI research lab, is reportedly in talks to secure $100 million in funding, which would value the company at $1 billion. The lab was co-founded by serial entrepreneur Ritankar Das alongside tech figures Reid Hoffman and Mark Pincus.

Focus on Computer Use Models and Automation

Launched in April, Prentis specializes in training AI models to understand and navigate common office workflows across various documents and systems. The objective is to create AI agents capable of controlling computers to automate these routine tasks, such as handling insurance claims or processing customs duty refund exceptions.

Early Customer Engagements and Performance Claims

Prentis has already secured contracts valued up to $50 million with several customers, including organizations in healthcare management and manufacturing. The company claims its Hive-32B model surpasses competitors like OpenAI’s GPT-5.4 and Anthropic’s Claude Opus 4.6 on computer-use benchmarks, specifically WindowsAgentArena and ScreenSpot-v2. Prentis also states its model offers a significantly lower cost per task compared to frontier APIs.

Competitive Landscape

The market for AI agents that automate office tasks is competitive, with other major players such as Anthropic, OpenAI, and Mira Murati’s Thinking Machines Lab also developing similar solutions. Prentis is positioning itself by emphasizing the efficiency and cost-effectiveness of its smaller model for everyday workflow deployment.

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Reporting from

Prentis, a new AI research lab co-founded by Ritankar Das, Reid Hoffman, and Mark Pincus, is in discussions to raise $100 million at a $1 billion valuation. The company focuses on training AI models to automate routine office workflows by controlling computers, aiming to develop AI agents for tasks like insurance claims processing.