CopilotKit raises $27M to help devs deploy app-native AI agents
CopilotKit has raised $27 million in a Series A round to advance its platform for integrating AI agents into applications with dynamic, interactive user interfaces. The company's open-source AG-UI protocol enables AI agents to communicate with front-end interfaces, offering features like streaming chat and state sharing. With support from major tech providers and enterprise clients, CopilotKit is expanding its offerings with a self-hostable enterprise solution.
- ▪CopilotKit raised $27 million in a Series A round led by Glilot Capital, NFX, and SignalFire.
- ▪The company’s AG-UI protocol is supported by Google, Microsoft, Amazon, Oracle, and frameworks like LangChain and Agno.
- ▪CopilotKit counts Deutsche Telekom, Docusign, Cisco, and S&P Global as enterprise customers.
- ▪AG-UI enables AI agents to generate interactive, company-defined UI components like charts instead of plain text responses.
- ▪The startup is launching CopilotKit Enterprise Intelligence, a self-hostable solution for deploying AI agents within apps.
Opening excerpt (first ~120 words) tap to expand
Many companies today provide AI simply as a chatbot inside their apps: you type in (or dictate) what you want it to do, and the AI bot goes and tries to do it. Still, the experience tends to feel clunky. A text-based UI doesn’t always translate to a smooth experience, for example, if you want to use a travel app to book an entire itinerary but have to scan through reams of text. According to the founders of CopilotKit, that approach doesn’t make the most of what AI agents and LLMs can do. The company’s co-founders, Atai Barkai (pictured above, right) and Uli Barkai (pictured above, left), believe the way forward is to enable agents to live inside applications, understand what users are doing, take actions, and show useful interfaces instead of just returning long blocks of text.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.
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