SnowCrash Labs is building the safety operations layer for enterprise AI.

Every company deploying generative AI today is flying blind on model safety. Models that pass static benchmarks break in production — exhibiting deception, power-seeking behavior, and alignment failures that emerge only under adversarial pressure. SnowCrash gives security and AI teams the visibility, testing, and automated remediation they need.

Our platform is three integrated systems:

AI Crash Test Lab — Automated adversarial evaluation across 8 specialized dimensions. Every model gets stress-tested against our proprietary threat taxonomy and produces a Safety Profile Card before it ships.

Model Safety Pool — A central control room that monitors every LLM, agent, MCP server, and workflow in your stack. Real-time severity scoring, behavioral findings, and audit-ready evidence.

Model Safety Router — Intelligent routing that automatically reroutes production traffic to safer models when safety scores drop. Sub-200ms latency. Zero manual intervention.

Our methodology is grounded in 124+ peer-reviewed papers and a growing vulnerability corpus across 1,000+ models. We've found that static guardrails fail at >90% rates against adaptive attacks, and that models exhibit 39% average safety degradation in multi-turn conversations.

Founded by technologists, military leaders, and startup veterans who saw a critical gap: AI is being deployed faster than it can be secured. Our team brings experience from AmLaw 100 firms, Techstars, the U.S. Army, and the defense/intelligence community.

www.snowcrashlabs.com

SnowCrash Labs

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