Harbor

Harbor is launching out of stealth as an insurance and risk platform built specifically for companies deploying AI agents, with an initial focus on banks and insurers and other regulated enterprises across North America, Europe, and Latin America. The problem it targets is a widening coverage gap. When a human employee makes a mistake, professional liability, cyber, and tech E&O policies absorb it, but software that analyzes agent architecture to identify risk is only now catching up to the fact that an agent can repeat the same error at machine scale before anyone intervenes, which has pushed some carriers to exclude AI from existing policies entirely. The product works in two layers. Harbor discovers every AI agent running inside a customer, builds an inventory, and scores each one against a framework mapped to standards like the NIST AI RMF, SR 26-2, and the EU AI Act, re-measuring whenever the underlying model, tools, or data change. It also checks individual agent decisions against a company's own policies and blocks ones that violate them in flight. The measurement layer is what makes the residual risk underwritable, and Harbor then issues insurance against the exposure that remains. The company was founded by Jesús Santos along with Daniel Elechiguerra, Cristian Bartolomé, and Luis Botín , who met at Stanford. The $10M seed was led by Base10 Partners, Abstract, and 8VC, with participation from NFX, Restive, and Innovation Endeavors , giving Harbor the capital to build out both the risk platform and the underwriting side as enterprise agent deployments move from pilots into production.