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Valgo

Insurance risk layer for physical AI

About

Insurers struggle to price autonomous systems because the historical data simply doesn't exist. Your car insurance draws from over 30 billion claims records, but autonomous trucks and robots have nearly zero. Valgo is the risk quantification platform that closes that gap. We are building probabilistic models of routes, tasks, and environments from the bottom up. We output a simulated loss estimate that insurers need to price coverage. Valgo is the foundational layer that gives insurance providers confidence to properly price autonomy risk.

Our team combines expertise in risk estimation for autonomy with deep experience in the insurance industry. Sydney and Robert are Stanford PhDs with leading expertise in safety of physical AI systems. Sydney wrote the textbook on validating safety-critical systems and teaches the course at Stanford. Robert spent 7 years at MIT Lincoln Laboratory on the core team that designed and validated an FAA-certified aircraft collision avoidance system, now a worldwide standard. Jon is a Sloan Fellow from the Stanford GSB and an actuary who spent over 12 years in insurance leadership and led over $5 billion in M&A as head of corporate development for one of the largest insurers in Asia-Pacific.

Topics

Location
San Francisco, CA, United States
Team size
3 employees
YC batch
Winter 2026
Status
Active
Stage
Early stage

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Questions and answers

What does Valgo do?

Insurance risk layer for physical AI

Where is Valgo based?

San Francisco, CA, United States

How many people work at Valgo?

3 employees, according to the company profile.

Has Valgo raised money?

There are no funding rounds for Valgo in our data.

What are the alternatives to Valgo?

Similar startups: Corgi Insurance, Pibit.ai, and Latent.