AeternalLabs develops patent-pending evaluation infrastructure that detects bias mechanisms invisible to existing audit frameworks — in healthcare, finance, employment, and judicial AI.
We ran the same clinical scenario — identical pathology, identical vitals, different demographics — through nine frontier AI systems from six companies across two countries. We ran each model three times on identical prompts.
No model reproduced its own fairness performance. The bias isn't a training artifact. It isn't a vendor problem. It's an architectural property of the model class itself.
Each domain has its own scenario templates, evaluation metrics, and regulatory mapping. These aren't speculative markets — they're compliance obligations with enforcement teeth.
Nine models. Three runs each. Same clinical scenario. Every verdict from the AeternalLabs Test Harness.
Three interlocking patents. 152 claims. Filed February 2026.