CopilotKit, a Seattle-based startup building tools that let developers embed AI agents directly into their applications, raised $27M in a Series A round led by Glilot Capital, NFX, and SignalFire.
The bet CopilotKit is making: most AI integrations today still feel grafted on. You open ChatGPT or Claude in a separate tab, draft something, copy it over. CopilotKit's premise is that the agent should live inside the product - with full access to the app's own data and the ability to take actions within it. A customer success tool where an AI agent can read ticket history and actually update records, not just suggest what you should type. A project management app where the agent moves tasks, not just talks about them.
That's a distinct technical problem from what most AI developer frameworks solve. Tools like LangChain and LlamaIndex focus on building an AI's reasoning layer - how it thinks, retrieves information, and chains decisions together. CopilotKit focuses on the integration layer: how do you embed an agent inside someone else's product with proper context, permissions, and UI hooks so it feels native rather than bolted on?
The startup picked the right moment. Enterprise software buyers increasingly want AI baked into the tools they already use, not a separate AI assistant they have to switch to. For developers building with Claude Code or other coding assistants and shipping software with AI embedded in the UI, CopilotKit is targeting the infrastructure beneath all of it. The $27M gives them room to expand the developer community and deepen those integration primitives.