Composio has secured $25 million in Series A funding, bringing its total funding to approximately $29 million, to enhance its platform focused on AI agent development.

The company plans to use the new capital to expand its engineering and research teams, aiming to increase its workforce from 25 to 40 by the end of 2025.

This funding will be directed toward improving Composio's learning infrastructure, enabling integration with various frameworks and tech stacks, and reducing deployment complexity.

Composio's platform, which simplifies AI agent creation from days to minutes, has attracted over 100,000 developers and more than 200 companies, including notable startups from Y Combinator.

Its technology features a reinforcement learning layer that helps AI agents develop intuition and share knowledge, making them more adaptable and efficient.

The platform supports multi-agent coordination, real-time scalability, and integration with over 3,000 cloud applications, addressing enterprise needs.

Founded in 2023 by Indian-origin entrepreneurs Soham Ganatra and Karan Vaidya, Composio focuses on building foundational tools for AI agents to learn from experience and improve over time.

The startup emphasizes creating infrastructure that allows AI to build context, learn from mistakes, and develop understanding similar to human employees.

The recent funding round saw participation from notable investors including Guillermo Rauch, Dharmesh Shah, and existing backers like Elevation Capital and Together Fund.

This investment aligns with a broader trend of venture capital backing cross-border AI startups, especially those focused on automation and enterprise solutions.

Composio's shared skill layer enables AI agents to accumulate knowledge from interactions, improving collectively and enhancing their ability to learn from past actions.

The platform automates essential authentication workflows, such as connecting to GitHub and Microsoft Azure, streamlining AI deployment in business environments.

CEO Soham Ganatra highlights that, unlike traditional AI models, Composio aims to develop infrastructure that allows AI to build context, learn from errors, and evolve like human workers.