AI Safety Infrastructure
Multi-agent adversarial validation for high-stakes AI systems.
Wherever AI decisions carry real consequences.
01 — Mission
Current AI validation approaches catch errors after damage is done. We intercept flawed reasoning before execution—using adversarial multi-agent systems that challenge every decision in real-time.
Specialized critic agents analyze AI-generated rationales before any action is taken, catching failures that slip past traditional testing.
Core validation architecture transfers across verticals—finance, healthcare, cybersecurity, autonomous systems—with configuration, not rebuilds.
Built by combat veterans who understand that mission-critical systems require mission-critical validation. Failure is not an option.
02 — Technology
A patent-pending multi-agent framework where specialized critics challenge AI reasoning through structured adversarial analysis. The meta-agent synthesizes critiques into execution decisions.
System Architecture
03 — Results
Deployed 24/7 on live production systems. MiniCrit reduced false positive rates from 18% to 6%—validated through continuous operation and rigorous testing across diverse decision scenarios.
04 — Contact
We're working with defense agencies, financial institutions, and autonomous system developers to deploy adversarial validation at scale.
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