How it works

A watchdog AI for your AI

EagleaAI runs alongside your stack. It never sits in the request path, so it adds zero latency to your model.

01

Snapshot a baseline

We capture your model's original outputs, benchmark scores and training data profile as the source of truth.

02

Scan in the background

Every new batch of data is profiled and compared to the baseline distribution, continuously.

03

Review inference logs

A secondary AI reads agent traces and model outputs, re-scores them and spots anomalies and regressions.

04

Alert and explain

You get a clear alert with the cause, the evidence and a suggested fix, sent to Slack, email or webhook.