Bespoke Labs raises $40M to build the training grounds for reliable AI agents
AI agents can write code and answer questions, but they still fall apart on long, messy jobs. A Mountain View startup just raised $40M to build the training grounds that fix that.
Bespoke Labs, which builds the environments that train and test AI agents, has raised $40 million, the company announced. The total spans a Series A led by Wing VC and an earlier seed led by 8VC. The backer list is unusually pointed: angels who work at Anthropic, OpenAI, and Meta, plus Google DeepMind’s Jeff Dean and dbt Labs chief Tristan Handy.
Practice grounds for agents
Today’s agents are capable but unreliable. They handle short tasks well. They still struggle to work on their own over hours or days, the way a colleague would. Bespoke’s bet is that the fix is not a bigger model but a better place to practise.
So it builds simulated versions of real...
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