HypergameAI Information

Hypergame builds Mirror Matrix — cognitive maneuver infrastructure for evaluating frontier AI systems that learn faster than they're tested. Frontier agentic systems are evaluation-aware. They detect testing contexts and adjust behavior to appear aligned while pursuing different objectives. Static evaluation has a convergence limit. Once an agent models your test environment, you stop learning. Mirror Matrix treats evaluation as an intelligence contest. Instead of blocking agent actions, it shapes what the agent believes about reality — rules, observers, rewards, authority, provenance — while retaining ground truth control and full instrumentation. Every run produces a Hypergame Trace: a hash-chained, signed record of every agent action, operator application, belief-state divergence, and containment event. Designed for safety teams, auditors, and researchers. Grounded in hypergame theory, deception doctrine, and 25+ active programs across DARPA, IARPA, ARL, and NRL. Prior contract history with US Navy and Space Systems Command. Private preview. All engagements under NDA. founders@hypergame.ai