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 — Infrastructure
A 100B-parameter frontier model engineered for high-stakes autonomous operations in defense and finance. Built for DoD IL6, FedRAMP High, and sovereign deployment with MiniCrit validation integrated at the core.
Designed for DoD Impact Level 6 deployment with full FedRAMP High compliance, zero-trust architecture, and continuous monitoring.
Every inference validated through adversarial critique before execution. Built-in safety layer prevents hallucinations and reasoning failures.
Complete control over model weights, training data, and infrastructure. No dependencies on foreign compute or commercial APIs.
Frontier-1 + MiniCrit Architecture
Frontier-1 is production-ready for AWS GovCloud deployment with complete Terraform infrastructure, IL6 documentation, and ATO package.
04 — 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.
05 — Contact
We're working with defense agencies, financial institutions, and autonomous system developers to deploy adversarial validation at scale.