Verification layer for LLM calls

Catch the wrong answer before your user does.

llm11 sits in front of any model call. It routes to the cheapest model that can handle the request, checks the answer against what you actually gave it, and escalates when the check fails - so the savings never cost you a hallucination.

One base-URL swap. OpenAI- and Anthropic-compatible. Triaged by our own heuristic engine (Jev support is built and pending a live key).

Try it - a real request, right now

Pick a scenario above to see triage, verification and cost, live.

Triage decides what it's worth

Every request gets a fast, typed decision - how hard is this, and how much verification does the answer deserve - before a token is spent on checking it. The expensive checks stay rare because the triage call decides they're worth it, not because they run on everything.

Verification, not vibes

Schema and rule checks are free and always on. Groundedness checks the answer against the source you actually gave it. Cross-model and self-consistency checks are reserved for when it matters - see exactly what ran and what it found on every request.

A receipt, not a promise

Every response carries what it cost, what your declared baseline model would have cost for the same tokens, and whether it passed. No vendor-reported multiple - the number is computed from your own traffic, every time.

What we actually detect

General-purpose hallucination detection doesn’t exist yet, and anyone who tells you otherwise is overselling. Here’s the honest list.

See what we do and don’t detect →