About
AI is required to assess AI-powered autonomous systems
That sentence is our entire thesis. As autonomy grows more capable, the effort required to prove it is safe grows with it. General Autonomy exists to close that gap, giving safety engineers tooling as capable as the systems they assess.
"You cannot assess a learning-based system that operates in an open world using methods designed for deterministic machines. The assessment itself has to be intelligent."
The founding premise of General AutonomyThe problem we work on
Safety is now the bottleneck to autonomy
The hardest part of shipping autonomy is no longer building a capable system. It is demonstrating, credibly and to a regulator's satisfaction, that the system is safe across an operational domain that cannot be fully enumerated by hand.
Traditional safety engineering was built for systems whose behavior could be specified and exhaustively tested. Learning-based perception and planning break that assumption. The result is a widening gap between what teams can build and what they can prove.
What we do about it
Tooling that scales with the system
We apply purpose-built AI to the assessment work itself: drafting hazard and cybersecurity analyses, generating the scenarios most likely to expose unsafe behavior, and assembling traceable, auditable evidence.
Crucially, we keep engineers in control. Our platform accelerates the work and maintains the audit trail; the safety decisions remain with the people accountable for them.
Principles
How we build
Engineering rigor over hype
We talk in work products, coverage, and traceability, not buzzwords. Safety engineers can smell a shortcut.
Humans stay accountable
AI accelerates; people decide. Every safety-relevant output is reviewable and requires sign-off.
Standards are the baseline
We meet the frameworks assessors already trust and make producing their evidence easier, not optional.
Traceability is non-negotiable
If a claim cannot be traced to evidence, it does not belong in a safety case.
Built with practitioners
We work alongside functional safety, V&V, and cybersecurity teams on real programs.
Domain-agnostic safety
The physics change; the assessment discipline does not. We serve autonomy wherever it must be safe.
Company
General Autonomy Inc.
Focus
AI-powered safety engineering for safety-critical autonomous systems.
Headquarters
New York, NY, United States.
Get in touch
Help us make autonomy provably safe
Whether you are shipping autonomy, partnering, or evaluating the platform, we would like to talk.