Autonomous agents take real actions; LLMs make confident claims. Acumetry is the trust layer that controls what your AI does and grounds what it says — stopping dangerous actions and hallucinations before they cause damage.
An AI system is only as trustworthy as the controls around it. | Acumetry | is the layer that governs what your AI does and grounds what it says — so teams can deploy without betting the business on good behavior.
Deploying AI means trusting both what it does and what it says. Both fail in predictable ways — which means both are preventable.
An agent runs rm -rf, drops a production database, reads secrets, or calls an unapproved domain — because a prompt told it to, or it misread the task.
An ungrounded model invents facts, fabricates citations, or quotes outdated medical and financial figures — stated with total confidence and no way to verify.
Retrieval quality decays, sources go stale, and answers degrade over time — long after launch, with no alert until a user notices.
Control the actions, ground the answers, and keep both verifiable over time — each available as an open-source library, a hosted service, or a done-for-you audit.
Runtime control over what your agents can do. Every tool call is checked against policy first — dangerous commands, blocked paths, and runaway loops stopped before they execute — plus a pre-deployment audit harness.
Anchors every claim to a real source and builds a citation audit trail. Flags ungrounded output before it reaches a user — cutting hallucinations and wasted tokens together.
Tests and continuously monitors retrieval quality, answer faithfulness, and source freshness — because grounding isn't set-and-forget and quality silently drifts.
Start free with the open-source libraries, or have us run a full safety and accuracy audit across your agents and RAG pipelines and hand you the report. There's a path for wherever you are.
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