Risk quantification platform to insure physical AI
TL;DR — Valgo is the risk quantification layer for insurance of physical AI. Since historical claims data doesn’t exist for autonomy, we turn simulations into loss estimates that insurers need to price coverage.
Insurers face challenges pricing physical AI 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 simulated loss estimates that insurers need to price coverage. Valgo is the foundational layer that gives insurance providers confidence to properly price autonomy risk.
Team. Our team combines expertise in risk estimation for autonomy with deep experience in the insurance industry. Sydney and Robert are Stanford PhDs who wrote the textbook on validating safety-critical systems and teach 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 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.
Our Ask. We would love to talk with you if:
- you work at a robotics and autonomy company
- you work with insurance brokers, agents, insurers, and reinsurers
- you know talented individuals in robotics systems, safety validation, and insurance
Contact us at founders@valgo.ai
