Prentis, new AI lab co-founded by Reid Hoffman, Marc Pincus in talks to raise $100M
Prentis, an AI research lab co-founded by Ritankar Das, Reid Hoffman and Marc Pincus, is reportedly discussing a $100 million funding round at a $1 billion valuation. The company is developing AI agents that can operate computers to automate routine office work, a potentially significant market as businesses seek to reduce administrative workloads.
Launched in April, Prentis says it has contracts worth up to $50 million and projects a $75 million annualised run rate by the third quarter, though these figures are performance-dependent and not recognised revenue. Its Hive-32B model is claimed to outperform larger rivals on computer-use benchmarks while costing about ten times less per task, but TechCrunch has not independently verified those results; the company faces competition from Anthropic, OpenAI and Thinking Machines.
- Prentis seeks $100 million at a $1 billion valuation.
- It builds AI agents for routine office workflows.
- Its revenue and benchmark claims remain unverified.
Both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
Supporters argue that a well-funded specialist lab could accelerate useful AI agents that remove repetitive computer work, improving productivity for employees and allowing smaller firms to achieve more with limited resources. They contend that backing experienced founders gives the company a credible chance to turn a technically difficult idea into reliable products, while investment helps fund the safety, evaluation and infrastructure needed to deploy such systems responsibly.
The case against
Sceptics argue that a $100 million raise for automating routine computer tasks may encourage companies to replace or intensify the work of people before the technology is dependable or its social effects are understood. They also question whether AI agents can safely operate across complex software systems without costly errors, privacy breaches or excessive concentration of power, and contend that investment should not assume automation will surpass more clearly valuable uses of AI such as assisting human developers.