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AI audit

LLM Knowledge Services

What is checked

  • Correct knowledge
  • Gaps
  • Wrong or outdated information
  • Brand and competitor confusion

What you receive

Our structured audit scans the model's internal knowledge across your defined topic areas and delivers a clear report before go-live.

What this does not cover

Not supplied — and this section is required, so this page is not finished.

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Pre-Deployment Model Audit

Enterprises often don’t know what an LLM actually knows about their domain before deploying it. Gaps and errors surface when customers complain. Our structured audit scans the model’s internal knowledge across your defined topic areas and delivers a clear report before go-live.

Correct knowledge: what the model knows accurately in your domain.

Gaps: topics where the model has no reliable knowledge.

Wrong or outdated information: facts that will cause real-world errors.

Brand and competitor confusion: misattributed facts before they reach your customers.

Model Procurement & Comparison

Companies evaluating which open-source model to deploy run expensive, time-consuming benchmarks that test general capability — not domain-specific knowledge. Our comparison service evaluates multiple candidate models against your actual knowledge requirements and delivers a scored recommendation.

You define the knowledge domain and key topics — we design the evaluation.

Multiple candidate models queried and scored against your requirements.

Scored knowledge map with procurement recommendation.

Cost/performance analysis covering inference cost, model size, and licensing.

Hallucination Forensics & Incident Response

When an LLM deployment causes a real problem — wrong medical advice, incorrect legal guidance, defamatory output — you need to explain what happened, why, and what you did to fix it. Our forensic analysis traces the root cause, produces a report suitable for regulatory or legal review, and implements a targeted fix.

Root cause tracing: knowledge gap, polysemantic confusion, or missing context.

Report suitable for regulatory or legal review.

Targeted fix applied directly to model weights — not a system prompt patch.

Regulated Industry Compliance Package

Healthcare, finance, and legal companies face strict regulatory requirements around AI accuracy and explainability. Our industry-specific compliance package combines pre-deployment audit, audit trail generation, ongoing knowledge drift monitoring, and incident response under a single enterprise SLA.

Healthcare: clinical knowledge accuracy, drug interaction verification, medical terminology.

Finance: current regulations, compliance guidance, jurisdiction-specific rules.

Legal: jurisdiction-specific knowledge, superseded statutes, evolving case law.