Catch LLM failures at scale.In real time.
Melmac monitors LLMs and inference models in production, flags hallucinations and off-script behavior before the answer is finished, and stops or reroutes the run. One runtime across life sciences, energy, automotive and outreach.
Illustrative.
Controller's review queue.
This is the queue a reviewer sees: thirty runs, sorted by risk. Open one, read the answer, mark it. No backend.
No backend. The events are a static snapshot from a local run. Verdicts and notes stay in this browser and reset on reload. Gold labels come from an imported eval set; production traffic carries the answer, not a gold answer. See Controller →
Three services under every run.
Controller is the first. Boards and Evaluation ship alongside it, and every application depends on all three.
One runtime, many industries.
The same monitoring layer sits under documents, catalogs, parts and conversations.
One system underneath.
One graph of objects, tools and checks. One runtime across every run. One set of models, chosen per step. The applications are the visible part of the same stack.