We build autonomous AI you can prove

Mission

Make autonomous AI safe to deploy where failure is not an option. We turn research in formal verification, adversarial testing and interpretability into evidence that operators, auditors and regulators can act on.Make autonomous AI safe to deploy where failure is not an option. We turn research in formal verification, adversarial testing and interpretability into evidence that operators, auditors and regulators can act on.

Foundational principles

What our safety work rests on

• Specify what must never happen

  Safety starts with a written boundary. Before a system is built, we state the actions it must never take and the conditions under which it must stop, in terms precise enough to check.

• Prove it before it ships

  Passing evaluations is not evidence of safety. We verify the properties that matter formally where we can, and attack the system where we cannot, before it reaches production.

• Watch what it intends

  Outputs arrive too late. We monitor what a model is reasoning towards before it acts, and treat the point where that signal stops being trustworthy as a failure in itself.

• Keep a person in control

  Autonomy is earned action by action. Escalation paths are designed and tested, so when a system meets something outside its mandate, control returns to a person who can act.