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Product

AI you can inspect, govern, and trust.

adapterOS is a governed AI workspace for sensitive documents and workflows. It runs locally, operates within defined policies, and produces reviewable evidence for every operation.

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What your team can do

Search internal documents, policies, and records without sending queries to external services. Results cite source documents.
Ask questions grounded in your own data. Every response includes provenance — what was retrieved, what was generated, what was cited.
Draft reports, summaries, and correspondence with governed AI. Every draft operation is logged with inputs, model state, and outputs.
Analyze with workflows that produce signed records. Reviewable by your compliance team, your auditors, or your own internal review process.

Why evidence matters

Most AI products ask you to trust their architecture. adapterOS is designed so you don’t have to. Every operation produces a reviewable record: what data was accessed, what model produced the output, what policy governed the operation, and when it happened.

  • Audit logging for every operation
  • Cryptographically signed run receipts
  • RBAC and policy pack enforcement
  • Tenant isolation by design
  • SBOM artifacts for every deployed component

Deployment model

adapterOS runs locally on dedicated hardware inside your facility. The system runs on Apple Silicon in a single-node configuration. Your team accesses it through a web interface, REST API, or command line.

  • Ingests PDFs, Markdown documents, and JSONL datasets.
  • Operates offline — no cloud dependency during operation.
  • We handle hardware, installation, data preparation, and ongoing support.
  • Your team controls policies, access, and review.

Built by MLNavigator

MLNavigator builds governed AI systems for environments where AI operation must produce reviewable evidence. We have filed patent applications covering core aspects of the adapterOS system.

Available for pilot engagements. Learn more about our team.

See it in detail

The briefing covers capabilities, evidence model, security approach, and engagement structure.

Request a BriefingSecurity