Composio announced $29 million in Series A funding led by Lightspeed Venture Partners to address a key AI limitation: their inability to learn from experience. Industry leaders like Guillermo Rauch, Dharmesh Shah, Gokul Rajaram, and Soham Mazumdar participated, along with investors SV Angel, Blitzscaling Ventures, Operator Partners, and Agent Fund. Existing investors Elevation Capital and Together Fund also contributed, totaling $29 million.
Composio’s shared learning layer makes knowledge from individual agents accessible to all, creating a network effect. Started two years ago, the company focused on solving infrastructure issues, such as multi-agent coordination, authentication, and scalable architecture, which now handle millions of requests daily.
They developed a reinforcement learning layer enabling AI to learn from experience—something missing in conventional approaches. Their platform has over 100,000 developers and is adopted by AI-first companies like April, OpenNote, Airweave, Den, and Dash, serving more than 200 startups and enterprises, including Glean, with seven-figure revenue.
Developers can deploy agents faster by leveraging existing skills and benefiting from collective knowledge.
How the funding will be used: With new funding, Composio will enhance its learning infrastructure, enabling systems to improve continuously. By capturing practical expertise and understanding context, Composio aims to turn AI into adaptive partners. The platform integrates with major AI frameworks like MCP, LangChain, Vercel AI SDK, and OpenAI Agents.
KEY QUOTES:
“You can spend hundreds of hours building LLM tools, tweaking prompts, and refining instructions, but you hit a wall. These models don’t get better at their jobs the way a human employee would. They can’t build context, learn from mistakes, or develop the subtle understanding that makes human workers invaluable. We’re solving this at the infrastructure level.”
“The challenge isn’t making AI smarter in isolation. It’s giving AI the ability to accumulate practical knowledge the way humans do—but at the scale and speed only software can achieve.”
Soham Ganatra, CEO of Composio
“What excites us about Composio is that they’re not just solving today’s integration problems. They’re building the foundation for AI agents to become genuinely useful by learning from experience at scale. This is the missing piece between impressive demos and transformative deployments.”
Raviraj Jain from Lightspeed Venture Partners
