Now launching · Controller

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.

Hallucination detection Real-time signal One runtime, any industry
Signal Data gap STOP AT TOKEN 50 token 1 token 120

Illustrative.

Demo · No backend

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.

Controller · review queue
DeepSeek-R1-Distill-Qwen-7B · 30-event slice

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 →

The runtime

Three services under every run.

Controller is the first. Boards and Evaluation ship alongside it, and every application depends on all three.

Where it runs

One runtime, many industries.

The same monitoring layer sits under documents, catalogs, parts and conversations.

The platform

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.

Melmac stack: users, apps, process generator, models and runtime
Start here

Talk to us.

We will take it from there.