Content IntelligenceControl Plane for Enterprise AI

Anatom determines which unstructured content is eligible to influence AI decisions — before any LLM or agent sees it.

No “LLM as judge.”Deterministic eligibility enforcement.

Where Anatom Sits

Policies, PDFs, emails, tickets, chats

Eligibility enforcement, evidence assembly, provenance

Clean context, consistent answers, audit-ready outputs

Outdated policies influence decisions

Mixed rules produce incorrect outcomes

Agents reuse incorrect fragments

No traceability of what influenced the answer

LLMs act as probabilistic judges

Intent, entities, recency, eligibility signals

Quality, relevance, decision alignment

Fragment routing, reuse enforcement

Provenance, lineage, replay

A simple, repeatable flow that prevents low-quality or risky content from entering your AI context.

FILTER → ASSEMBLE → CONTROL

Score and suppress low-quality context before retrieval.

Construct evidence sets that are grounded and consistent.

Apply thresholds and policy before generation.

Result: fewer hallucinations, higher-confidence answers, and reduced human review—without changing your LLM.

Deploy within your cloud boundary for full control.

Operate as a managed layer without changing your stack.

Works with any LLM and any vector database. No model changes required.

Tell us what you're building. We'll show how Anatom fits your stack.