anatom.ai

Architecture

A layered control system that makes enterprise content eligible, governed, and traceable before it reaches an LLM or agent.

Anatom Pipeline (High-Level)

Layered capabilities, not a single box between content and the model.

Raw Enterprise Sources

Docs, PDFs, emails, tickets, knowledge bases, logs.

ANATOM — CONTROL SYSTEMCONTROL BOUNDARY

Content Preparation

Prepare content for governed use.

  • Ingestion
  • Format parsing
  • Normalization
  • Source tagging

Content Intelligence & Eligibility

Decide what is eligible to influence AI.

  • Content structuring
  • Quality evaluation
  • Eligibility filtering
  • Trust & lineage signals
  • Policy-aware filtering

Retrieval + Evidence Assembly

Build a governed evidence pack for generation.

  • Policy-aware retrieval
  • Multi-signal ranking (not similarity-only)
  • Evidence pack construction
  • Provenance-ready context

Runtime Control Plane

Enforce policy at runtime with traceability.

  • Intent inspection
  • Risk classification
  • Allow / Modify / Block / Escalate
  • Decision logging

LLM / Agent Execution

Uses only the governed evidence pack; produces consistent, auditable outcomes.

TraceabilityPolicy alignmentReduced manual review

Deployment Options

Private VPC / Hybrid

Deploy within your cloud boundary for full control.

Managed Runtime

Operate as a managed layer without changing your stack.

Works with existing LLMs and vector stores. No model changes required.

Contact

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

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