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Runlayer Secures $30 Million to Standardize Enterprise AI Governance

Runlayer Secures $30 Million to Standardize Enterprise AI Governance

Runlayer, a startup building infrastructure to govern enterprise AI agents, has raised $30 million in a Series A funding round led by Felicis. The investment, which brings the company’s total capital to $42 million, aims to help large organizations transition from simple AI experimentation to workforce-wide agent delegation.

The platform functions as an interoperability layer designed to resolve the tension between rapid AI adoption and corporate security. By providing a centralized control plane, Runlayer allows employees to utilize various AI clients and agents while enabling IT and security teams to monitor permissions, audit logs, and model consumption. This approach addresses the rise of shadow AI, where staff bypass internal protocols to use unauthorized tools, by offering a sanctioned path that integrates with existing enterprise systems like CRM, Notion, and data warehouses.

CEO Andrew Berman, a former AI director at Zapier, founded the company on the premise that future workflows will involve employees supervising swarms of agents rather than executing tasks manually. Current clients already include high-growth firms such as Instacart, Gusto, and Lemonade. The new capital will be directed toward expanding the company’s engineering and go-to-market teams to meet increasing demand for a unified security fabric that spans the entire AI stack, from prompt injection protection to cost management.

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