Applied AI-Safety Research & Verification
Razorglint Labs is the applied research division of TCOG Collective LLC (New Mexico). We focus on uncovering, validating, and documenting system-level memory and consistency anomalies in LLMs.
Our work builds verifiable, cryptographically-sealed evidence chains (SHA-256), freeze statements, and forensic datasets. These provide regulators, labs, and corporations with reproducible AI-safety insights that go far beyond theoretical speculation.
LLMs are not just software—they are dynamic systems where memory, continuity, and context integrity directly affect trust, compliance, and security. Razorglint Labs provides actionable, reproducible data that enterprises can use for auditing, red-teaming, and governance.
Damian Ketting
Director, Razorglint Labs
TCOG Collective LLC (New Mexico)
📞 +31 6 23071750 (Europe/Brussels)
📧 razorglint.ops@protonmail.com