AuxAI

AuxAI is an AI developer tool that monitors live model inference to catch silent failures before an autonomous system acts on them. It watches a running model from the outside, without touching its weights, which makes it a fit for systems where an undetected fault is unacceptable: autonomous vehicles, robotics, defense and ISR, and industrial automation. Instead of trusting the model's own confidence score, AuxAI combines several independent signals, embedding novelty, sensor health, temporal consistency, and spatial plausibility, to flag faults that a confidence number would miss, and its fault localization points at whether the problem is the model, the monitor, or a sensor. It supports in-process fine-tuning with validation before deployment, fleet-wide learning through reliability-weighted aggregation, real-time telemetry, and automated fallback routing, and it can detect a hardware fault within a single frame. The monitor itself is deliberately small, 76k parameters, about 154 times smaller than ResNet-18, so it can sit alongside the model it watches. The vendor positions it for institutional buyers and offers a one-hour validation session on your own model. For teams comparing AI tools for inference monitoring and reliability, AuxAI's angle is independence from the model under watch.

Real-time monitoring of model inference to catch and recover from silent failures in autonomous vehicles, robotics, defense, and industrial automation.