CopilotKit Raises $27M Series A to Build Enterprise Agentic UI Framework

Summary

CopilotKit, a Seattle-based startup founded by Atai Barkai and Uli Barkai, has announced a $27 million Series A funding round led by Glilot Capital, NFX, and SignalFire. The company is focused on solving a fundamental problem with how AI is currently integrated into applications: most implementations rely on clunky text-based chat interfaces that don't fully leverage what AI agents and large language models can accomplish.

Instead of text-based interactions, CopilotKit is building the Agentic Front End Stack to enable AI agents to live inside applications, understand user actions in context, and generate dynamic, interactive user interfaces tailored to specific scenarios. The company's flagship product, the AG-UI protocol, is an open-source standard that defines how AI agents connect to and communicate with user interfaces, supporting features like streaming chat, front-end tool calls, and state sharing for human-in-the-loop workflows. The protocol has achieved significant ecosystem adoption, with support from major tech companies including Google, Microsoft, Amazon, and Oracle, as well as popular AI frameworks like LangChain, Mastra, PydanticAI, and Agno.

With the new funding, CopilotKit is developing an enterprise-grade toolkit built on top of AG-UI, adding capabilities such as professional support, self-hosted deployment options, and other must-have features for businesses deploying AI agents in production. The funding validates the market opportunity for better developer tooling to create truly agentic user experiences—where AI can generate context-aware interfaces like charts, forms, and tables—rather than simple chatbot integrations that force users to parse text responses.

• The funding will be used to build enterprise-grade features including professional support, self-hosted deployment, and compliance capabilities needed for production AI agent deployment