Always-on monitoring for AI agents & models

Your model passed its benchmarks.
Is it still passing them today?

EagleaAI is a second AI that watches your agents in the background. It scans incoming data, reviews every inference log and alerts you the moment your model drifts from its original results — before your users notice.

< 15 minto connect
24/7background scanning
0changes to your model
support-agent-v3 · production DRIFT DETECTED
Baseline benchmark Live performance Alert threshold
Accuracy vs. baseline
−6.8%
Data drift (PSI)
0.27
Logs scanned
1.24M
The problem

AI doesn't break loudly. It drifts quietly.

A model that scored 94% on launch day can slip to 81% three months later and nothing throws an error. New data, changing users and retraining all move the target.

Data drift

As more data is fed in, the distribution shifts away from what the model was trained and tested on. Its assumptions quietly stop holding.

Benchmark decay

Retrains, prompt edits and upstream model updates can erode results you already proved. Nobody re-runs the benchmark until a customer complains.

Silent agent failures

Agents loop, call the wrong tools, hallucinate or go off-policy. It's buried in millions of log lines no human has time to read.

Use cases

Wherever an AI makes decisions

Customer support agents

Catch outdated answers and policy drift as products and policies change.

Fraud & risk models

Know when new transaction patterns push the model outside what it learned.

Recommendation engines

Spot shifts in user behaviour before click-through and revenue fall.

Fairness & compliance

Track performance per segment so results stay fair and auditable over time.

Early access

Stop finding out from your customers

Join the waitlist and be one of the first teams to put a watchdog on your AI.

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