We insure our cars, homes, businesses, and employees. Now we need to insure AI agents, too.
AI agents are starting to approve payments, change prices, and sign contracts. But what happens when an agent makes a $1M mistake? Who’s responsible? And who’s paying for it?
That’s the problem Harbor is solving!
🌎 Today, Harbor emerged from stealth with $10M in seed funding from Base10, 8VC, Abstract, NFX, and others. We’re proud to be investors too!
👇 We’re sharing the full Seed Pitch Deck + One-Pager behind the $10M raise 👇
Founded by four Stanford alumni, Harbor is already working with StackAI, HappyRobot, Crossmint, leading banks and law firms, and one of the world’s largest insurance brokers.
Here’s the opportunity: traditional insurers have decades of data to price human mistakes. AI agents have almost none.
→ Harbor is building the insurance layer for the agent economy: monitoring agent decisions, preventing costly mistakes, and insuring the remaining risk.
This could become essential infrastructure for every company deploying AI agents.
🔎 Below: the business model, technology, go-to-market, founding team, and full fundraising materials.
Inside you will find:
Why Insurers Can’t Price an AI Agent
How Harbor Turns Agent Behavior Into a Price
Why Owning the Risk Standard Is the Moat
The Road to $1M ARR: Selling Cover Where Agents Are Sold
The Team Behind Harbor
The $10M Seed Pitch Deck + One-Pager
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1. Why Insurers Can’t Price an AI Agent
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