Valgo

Insurance risk layer for physical AI

Y CombinatorWinter 2026ActiveB2BEngineering, Product and Design

What they do

Problem

Insurers lack sufficient historical claims data to accurately price and underwrite risk for autonomous vehicles and robots.

Solution

Valgo provides a risk quantification platform that uses bottom-up probabilistic simulation models of routes, tasks, and environments to estimate losses for physical AI systems.

Who it's for

Insurance carriers and underwriters pricing coverage for autonomous trucks, robots, and other physical AI deployments.

Founders

Robert Moss

Co-Founder and CEO

Stanford CS PhD with thesis on algorithms to validate safety-critical systems. Former research staff at MIT Lincoln Laboratory on the core team that designed and validated the aircraft collision avoidance system (ACAS X), now a worldwide standard. Other relevant experience working at Xwing (an autonomous aircraft startup now part of Joby Aviation), and NASA Ames Research Center.

LinkedIn · X

Sydney Katz

Co-Founder and CTO

Stanford Aero/Astro PhD with thesis on safe machine learning. Author of "Algorithms for Validation" textbook. Lecturer for "Validation of Safety-Critical Systems" course at Stanford. Industry experience at Reliable Robotics, MIT Lincoln Laboratory, Johns Hopkins Applied Physics Laboratory, and NASA.

Jon Qian

Co-founder and President

Stanford GSB Sloan Fellow. 12+ years in leadership positions for one of the largest insurer in Asia-Pacific. Responsible for over $5 billion in insurance company mergers and acquisitions.