CopilotKit Secures $27 Million Series A to Embed AI Agents Directly into Apps
Key Points
- Seattle‑based CopilotKit raised $27 million in a Series A led by Glilot Capital, NFX and SignalFire.
- Funding will expand the AG‑UI open‑source protocol that lets AI agents interact with app interfaces.
- Enterprise toolkit includes self‑hosted deployment features for large organizations.
- Current customers include Deutsche Telekom, Docusign, Cisco and S&P Global.
- CopilotKit differentiates by offering optionality and self‑hosting across any cloud or AI stack.
- Company has roughly 25 staff members and plans to grow its team with the new capital.
Seattle‑based CopilotKit has closed a $27 million Series A round led by Glilot Capital, NFX and SignalFire. The funding will expand the startup’s AG‑UI protocol and enterprise toolkit, which let developers embed AI agents that can manipulate user interfaces, generate interactive charts and stay within a company’s existing cloud stack. Customers already include Deutsche Telekom, Docusign, Cisco and S&P Global, and the company plans to grow its 25‑person team to meet rising demand for self‑hosted, optional AI‑agent solutions.
CopilotKit, a Seattle startup focused on making AI agents a native part of applications, announced a $27 million Series A financing round. The round was led by Glilot Capital, with participation from NFX and SignalFire, according to an exclusive report from TechCrunch.
The capital will accelerate development of the company’s AG‑UI protocol, an open‑source standard that lets AI agents communicate directly with user interfaces such as web browsers or mobile apps. AG‑UI supports streaming chat, front‑end tool calls and state sharing, enabling developers to build “human‑in‑the‑loop” experiences where the AI does more than return blocks of text. In practice, a user could ask for a revenue breakdown and receive an interactive pie chart styled to the firm’s brand rather than a dense paragraph.
CEO Atai Barkai emphasized that the protocol gives developers full control over how much an AI agent can alter the UI. Companies can opt for “pixel‑perfect” designs or simply provide building blocks that the agent assembles on the fly. The startup is also rolling out CopilotKit Enterprise Intelligence, a self‑hosted suite that bundles infrastructure features needed to run agents at scale.
CopilotKit already counts several Fortune 500 firms among its customers, including Deutsche Telekom, Docusign, Cisco and S&P Global. The company reports millions of weekly installs of its protocol and notes that major AI infrastructure providers—Google, Microsoft, Amazon and Oracle—support AG‑UI alongside popular frameworks like LangChain, Mastra, PydanticAI and Agno.
In a crowded market, CopilotKit differentiates itself by offering a horizontal, enterprise‑friendly approach. While Vercel’s open‑source AI SDK, assistant‑ui, and OpenAI’s Apps SDK provide similar capabilities, they either tie developers to a specific stack or limit deployment to ChatGPT. CopilotKit’s toolkit, by contrast, works with any agent framework, cloud provider or backend an enterprise already uses, and it prioritizes optionality and self‑hosting—two themes Barkai says dominate enterprise conversations.
“Enterprises want optionality and they want self‑hosting,” Barkai told TechCrunch. “Whether they’re on Google, Amazon, Oracle, Microsoft, LangChain or Mastra, they need a solution that fits their existing ecosystem.” The startup’s growth strategy hinges on keeping AG‑UI fully open while monetizing premium features for larger customers. Head of growth Uli Barkai explained that the open protocol will remain the default choice for 95 % of users, while the commercial layer targets the top tier of enterprise clients.
With about 25 employees, CopilotKit plans to use the new funding to expand its team and deepen its product offerings. The move comes as demand for AI‑driven, UI‑aware agents surges, and investors appear eager to back companies that can bridge the gap between large language models and actionable, in‑app experiences.