Seattle-based CopilotKit announced a $27 million Series A funding round led by Glilot Capital, NFX, and SignalFire. The investment will help the startup expand its tools for developers to integrate AI agents natively into applications.
Current AI setups in apps often rely on chatbots where users input requests via text or voice. These interfaces can feel awkward, especially for complex tasks like booking travel itineraries through lengthy text responses.
CopilotKit co-founders Atai Barkai, the CEO, and Uli Barkai argue that AI agents and large language models offer more potential. They push for agents embedded in apps that observe user actions, perform tasks, and display tailored interfaces rather than plain text blocks.
AG-UI Protocol Powers Integration
At the core of CopilotKit's approach sits the AG-UI protocol, a popular open-source standard. It defines how AI agents link to user interfaces in web browsers or apps. Key features include streaming chat, front-end tool calls, and state sharing for human oversight.
This protocol equips developers with the structure to embed AI agents smoothly in their software. CopilotKit builds an enterprise toolkit atop AG-UI, including support services, self-hosted options, and business essentials.
The flexible interface stands out. Developers specify components, and AI agents assemble context-specific UIs. Atai Barkai explained to TechCrunch that agents respond with interactive elements defined by the company, such as a custom pie chart for revenue breakdowns by category. Users can engage with these visuals directly.
Developers retain control over UI changes, opting for exact matches or loose building blocks that agents combine as needed.
Strong Adoption and Major Backers
AG-UI has gained traction alongside protocols like Model Context Protocol (MCP) and Agent2Agent (A2A). Support comes from AI infrastructure giants Google, Microsoft, Amazon, and Oracle, plus frameworks such as LangChain, Mastra, PydanticAI, and Agno.
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CopilotKit reports millions of weekly installs for AG-UI and its tools. Many Fortune 500 firms deploy them in production. Customers include Deutsche Telekom, Docusign, Cisco, and S&P Global.
To meet demand, CopilotKit launches CopilotKit Enterprise Intelligence, a self-hostable package with infrastructure for full agent deployment in apps.
Glilot Capital focuses on early-stage tech investments, often in Israel-linked firms. NFX and SignalFire back software and AI ventures. This funding arrives amid rapid growth for CopilotKit, founded by the Barkai brothers to address AI integration gaps.
Competition and Unique Positioning
The enterprise AI agent space heats up. Vercel's open-source AI SDK aids similar app builds. Assistant-ui provides chat interface components. OpenAI's Apps SDK enables richer UIs, but only within ChatGPT.
Atai Barkai sets CopilotKit apart with its broad, enterprise-oriented design. It works with any agent framework, cloud, or backend, prioritizing choice and self-hosting.
Enterprises often demand flexibility and on-premises options, he noted. They may already use stacks from Google, Amazon, Oracle, Microsoft, LangChain, or Mastra. Vercel lacks these fully.
CopilotKit balances open-source neutrality with business needs. AG-UI remains fully open, while commercial tools strengthen it for enterprises without supplanting the core.
Uli Barkai, head of growth, said the open source must excel to draw users. The firm targets top enterprises for revenue, letting 95% of users start free.
With around 25 employees now, CopilotKit plans team expansion using the funds.