AI Surveillance
Keeps a close watch on LLM output quality — catching hallucinations before they ever reach users.
- Pulls sample terms at random from a product's raw production logs.
- Terminologists score them against a curated "Golden Term Set" to measure accuracy and flag hallucinations.
- Accuracy and latency metrics roll up so decision-makers can see exactly how the model is performing.
- A feedback-loop pipeline streamlines the hand-off with terminologists, slashing turnaround time and errors.