Deterministic Containment
Rather than relying on best-effort prompt guidance, JacqOS models rules as explicit logical relations. Decisions are computed deterministically, making safety provable.
Company
The people behind JacqOS.
We believe that keeping AI agents safe requires mathematical rigor, not just prompt guidelines. JacqOS was founded to bring structural constraints and satisfiability boundaries to production systems.
Founder / CEO
Adam Harris
Dr. Adam Harris is a mathematician, researcher, and tech founder originally from Wirral, UK. He is the founder of JacqOS and holds a DPhil in Mathematics from the University of Oxford, specializing in mathematical logic and arithmetic geometry.
The Foundations
The research roots of JacqOS.
How mathematical logic and formal verification shape the core operating model of our AI safety boundaries.
Satisfiability Boundaries
Every proposed action begins in a candidate state. A transition to execution is allowed if and only if the final state satisfies the defined system invariants.
Linear Provenance
Inspired by formal mathematical proofs, JacqOS traces every real-world intent back through derived facts to its original observation, allowing full auditable replay.
Evaluation
Bring formal boundaries to your AI stack.
Learn how mathematical logic can protect your team from expensive AI agent failure modes.