Felicis led the Series A round for the enterprise AI governance startup, with Vinod Khosla's firm reportedly trying to buy every available dollar
There’s a growing realization in enterprise tech that giving AI agents the keys to your company’s systems without a governance layer is like handing an intern the admin password on day one. Runlayer is betting $42 million that it can be the one standing between corporate AI agents and chaos.
The New York-based startup closed a $30 million Series A led by Felicis, with Khosla Ventures participating. The round brings Runlayer’s total capital raised to approximately $42 million, following an $11 million seed round in November 2025 that was also backed by both firms.
What Runlayer actually does #
Runlayer builds security and compliance infrastructure around the Model Context Protocol, or MCP. MCP is an open specification that defines how AI agents plug into enterprise systems and data. Runlayer’s platform provides mapping capabilities, approval workflows, and audit trails, letting companies see exactly what their AI agents are doing, require human sign-off for sensitive actions, and maintain a paper trail for compliance purposes.
Eight unicorns and several public companies, including Gusto, dbt Labs, Instacart, and Opendoor, are early adopters. That’s not a bad roster for a company that only emerged from stealth in late 2025.
Why the money moved fast #
Felicis preempted the round, moving to close the deal before a full competitive process could play out. Vinod Khosla’s enthusiasm was particularly notable. The legendary tech investor reportedly wanted “to buy every available dollar of the round” when he heard Runlayer was raising. Keith Rabois at Khosla Ventures had already led the seed round, so this was a doubling-down moment for the firm rather than a fresh bet.
The enterprise AI governance landscape #
Runlayer’s focus on MCP is a strategic choice worth examining. The Model Context Protocol is gaining traction as a standardization effort for how AI agents interact with external tools and data sources. By building the security layer specifically around MCP, Runlayer is essentially betting that this protocol becomes the dominant framework for enterprise AI integration.
Runlayer’s $42 million in total funding is still modest compared to the billions flowing into AI model development. One well-positioned security layer can serve thousands of enterprise deployments without requiring the massive compute budgets that foundation model companies burn through.
What this means for investors #
Runlayer has no crypto tokens, no blockchain integrations, and no apparent plans to enter the digital asset space. This is a pure enterprise software play.
The AI agent governance space represents a parallel evolution to what crypto has been trying to solve with smart contract auditing, on-chain governance, and decentralized identity. The core question is the same: how do you let autonomous systems operate while maintaining accountability and security? Runlayer is answering that question for traditional enterprise environments using centralized infrastructure rather than blockchain-based solutions.
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