Valgo

Valgo addresses the critical need for safety validation in the rapidly expanding field of autonomous systems. As autonomy permeates safety-critical sectors like aviation, the consequences of system failures escalate, compelling companies to invest heavily in internal validation processes prior to real-world deployment. Valgo accelerates the development and certification of these autonomous systems by providing advanced tooling for algorithmic safety validation at scale. Their platform is designed to efficiently identify rare yet realistic failure scenarios through simulation, achieving this at a significantly reduced computational cost compared to existing methods. Valgo's tools are model and simulator-agnostic, making them applicable across diverse industries including autonomous vehicles, aviation, robotics, space exploration, defense, energy, and finance.

Founded by Stanford PhDs who are experts in algorithmic safety validation, Valgo brings deep academic and practical experience to the table. Their founders have authored textbooks and taught courses on the subject at Stanford University. Furthermore, the team possesses substantial industry experience, including work on FAA-certified collision avoidance systems at MIT Lincoln Laboratory, validation of autonomous aircraft at Xwing, and collaborations with industry leaders across transportation, aviation, and energy.