Self-Healing Inference
Robustness as a core unit, not a bolt-on
A structural correction mechanism that pulls perturbed inputs back toward the manifold during inference. The result is a model that degrades gracefully on noisy, OOD, or adversarial inputs — essential for production deployment in regulated and edge environments.
Properties
What this core unit gives you
The guarantees this core unit provides when composed into a production system.
Graceful degradation on out-of-distribution inputs
Resilient to typos, code-switching, and transliteration drift
Stable inference under input perturbation
No retraining needed per failure mode
Composes With
The other core units it pairs with
Core units are decoupled by design. These are the ones we've validated in production compositions — but you can compose with your own stack too.
Used In
Where this core unit ships today
Use cases that include this core unit as part of the composition.
Compose Self-Healing Inference into your stack.
Available via API, on-prem license, or as part of a composed packaged product. Talk to us about the right entry point.