We study when systems cease to behave reliably.
Operating at the boundary where geometry becomes undefined, confidence becomes misleading, and continuation becomes unsafe.
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The Stability Gap
Modern systems are extremely capable, yet they fail in ways that are confident, silent, and systemic. This is not a data problem.
It is a stability problem.
Standard models lose resolution in critical edge cases, treating structural failure as mere noise.
Identification of execution states that are statistically probable but functionally inadmissible.
The inability to distinguish between benign environmental complexity and actual system degradation.
We develop blind, coordinate-free audits.
Our analyses identify functional structure in regions traditionally labeled as "noise." These results are falsifiable, reproducible, and independent of your training data.
Protein Disorder
Identified functional sites in intrinsically disordered regions where structural confidence was effectively zero.
Degraded Sensing
Detection of inadmissible operating states during sensor failure, prior to visible loss of control.
Inference Guardrails
Mathematical proof of inadmissibility for specific agent outputs despite high internal model probability.