Overview
Seattle-based startup CopilotKit has raised $27 million in Series A funding to accelerate its platform for embedding AI agents directly inside mobile and web applications. The round was led by Glilot Capital, NFX, and SignalFire. The company’s core technology, the open-source AG-UI protocol, standardizes how AI agents connect to and communicate with user interfaces — enabling features such as streaming chat, front-end tool calls, and state sharing for human-in-the-loop workflows.
What AG-UI does
AG-UI works alongside the widely adopted Model Context Protocol (MCP) and Agent2Agent (A2A) protocol. It is supported by major AI infrastructure providers including Google, Microsoft, Amazon, and Oracle, as well as frameworks like LangChain, Mastra, PydanticAI, and Agno. The protocol sees millions of installs per week, according to the company, and a large portion of Fortune 500 companies use it in production.
CopilotKit’s framework gives developers the building blocks to let AI agents generate dynamic user interfaces — not just text responses. For example, a user asking for a revenue breakdown by category could receive an interactive pie chart instead of a long paragraph. Developers retain full control over how much the AI can change the UI, from pixel-perfect designs to broad component assembly.
CopilotKit Enterprise Intelligence
Alongside the funding, CopilotKit is launching CopilotKit Enterprise Intelligence, a self-hostable offering that bundles infrastructure features for deploying agents within apps. The company counts Deutsche Telekom, Docusign, Cisco, and S&P Global as enterprise customers. CopilotKit currently has about 25 employees and plans to use the funding to grow its team.
Competition and positioning
CopilotKit faces competition from Vercel’s open-source AI SDK, Assistant-ui, and OpenAI’s Apps SDK (which works only inside ChatGPT). CEO Atai Barkai argues that CopilotKit differentiates itself by taking a horizontal, enterprise-friendly approach rather than a vertically integrated one. The platform aims to support whatever agent framework, cloud provider, or backend an enterprise already uses — emphasizing optionality and self-hosting.
“If there are two things we hear in almost every single enterprise conversation, enterprises want optionality and they want self-hosting,” Barkai said. “Maybe they’re already using the Google, Amazon, Oracle, Microsoft, LangChain, Mastra stacks. They want optionality, and they want self-hosting, and these are two things that they don’t really get in the Vercel stack.”
Tradeoffs
Companies that build on top of open-source infrastructure face a tension: maintaining a neutral standard while