Regimes Shift. Systems Respond.
Detect structural transitions, degradation behavior, and emerging failure risk—with reproducible computation, auditable results, and AI kept in its proper role.
Deterministic, physics-grounded reliability analysis for critical systems.
Bring Us Data Your Models Struggle With
Anamnesis™ is opening a limited number of confidential pilot studies and accepting submissions for its Dataset Challenge. Bring a real degradation, reliability, or failure dataset. Under defined evaluation conditions, we will apply deterministic, physics-grounded computation and deliver auditable results that can be reproduced and defended—without outcome-driven tuning.
Limited OEM Pilot Studies + Dataset Challenge

Reliability Without the AI Black Box
Vigil Engine™ detects degradation patterns, emerging instability, and failure risk in complex physical systems. It also identifies broader regime shifts and changes in system state that standard models may miss—producing deterministic, traceable analysis for reliability, maintenance, and technical decision support.
Variance Is the Signal. What Standard Models Filter Out can precede failure.
Many conventional models smooth or suppress variance as noise. Vigil Engine™ evaluates that structure in its physical context, revealing regime shifts and early-warning signals that standard approaches can miss. The result is physics-grounded—not generated by AI.
AI Assists. Deterministic Computation Decides.
AI supports data configuration and clear communication of the results. It does not generate the analytical outcome. Governed computation remains separate from interpretation, producing results that can be reproduced, reviewed, and defended. Proprietary technology—without generative guesswork.
Where Linear Assumptions Break
Constant decay was never a physical law. It was an assumption of convenience. When degradation shifts by regime, the signal distorts—and models built on that premise, miss the real structure. Vigil Engine™ was built to detect it.





