Bespoke Labs secures $40M to scale AI agent training platform

Bespoke Labs, a Mountain View–based AI agent training platform, has raised a total of $40 million across its seed and Series A financings. The capital stack consists of a Series A round led by Wing VC and an earlier seed round led by 8VC, with the combined funding disclosed in early July 2026. The company builds environments that train, test and help deploy more reliable autonomous AI agents, and plans to use the new capital to expand its research team, scale its environment-building infrastructure and support business development with enterprise customers.

The Series A round was led by Wing VC, with additional participation from Mayfield, The House Fund, dbt Labs CEO Tristan Handy, and angel investors from Anthropic, OpenAI and Meta. The seed round was led by 8VC and included Google DeepMind’s Jeff Dean, Resolve AI CEO Spiros Xanthos, DevRev CEO Dheeraj Pandey and other backers. Across both rounds, Bespoke Labs has assembled a cap table that mixes top-tier venture firms with senior operators from leading AI labs and data infrastructure companies. While the total funding amount and round leadership have been disclosed, no valuation figures have been reported by the company or its investors.

Founded in 2024, Bespoke Labs focuses on data curation and post-training tools that help make AI agents robust enough for production deployment, positioning itself as infrastructure for enterprises and frontier model labs. The company’s platform is designed to serve customers that need complex, reliable agent behavior, and the fresh funding gives it meaningful runway to grow headcount and deepen its environment technology. Industry coverage highlights the raise as part of a broader trend toward investing in tooling and infrastructure that improve reliability and evaluation of AI agents rather than simply scaling model size.