Dedalus Labs Raises $11M Seed to Simplify AI Agent Development

Dedalus Labs has raised $11 million in seed funding to simplify how developers build and deploy AI agents.

The round was co-led by Kindred Ventures and Saga Ventures, with participation from E14 Fund, Emergence Capital, Sunshine Lake, Transpose Platform, Liquid 2 Ventures, FPV Ventures, Twenty Two Ventures, Telescope Foundation, Spot VC, Operator Partners, and Y Combinator. Angel investors include Cal Henderson (Slack), Thomas Wolf (Hugging Face), Ant Wilson (Supabase), Thomas Dohmke (GitHub), Tri Dao, and Elad Hazan.

Dedalus Labs develops an SDK and infrastructure platform that helps developers connect AI models, tools, and APIs quickly. Di, the company’s CEO, said, “We were tired of settling for tools that didn’t match how agents interact with the real world. Our goal is to make building and streaming non-linear agents as easy as writing one function call.”

Making Agent Development Faster

Dedalus Labs focuses on the Model Context Protocol (MCP), a standard that lets AI models communicate consistently with tools and data sources. MCP allows multiple systems to work together securely and predictably, reducing the complexity of agent workflows.