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Read sensitive documents faster, without sending them out.

adapterOS gives teams specialist chats for contracts, records, tickets, and reports. Each answer cites its sources and keeps the review trail on your hardware.

Example specialist chat

We’re renewing Acme. What should I worry about before I sign?

The support language changed. The renewal excludes integration-related incidents, and three Q4 Sev-2 tickets may be affected.

2025 MSA2026 renewal3 Sev-2 tickets
Discuss a pilotExplore adapterOS
Review the pilot packet

Use sensitive documents without sending them to a cloud model. Review decisions, identify relationships, analyze data, generate reports, and keep the source trail on your own hardware.

Specialist chats for sensitive work.

adapterOS helps teams read, compare, and route documents faster while keeping sources, controls, and reviewer context close to the answer.

Privacy

No outbound network calls.

The pilot boundary is local hardware, local source material, and no routine data egress for sensitive documents.

Security

Supply-chain verified adapters.

Adapter versions, SBOM references, and update posture are recorded with the workspace configuration.

Compliance

Citations plus review records.

Each answer keeps the source trail, control result, and reviewer note with the output it produced.

What your local AI system can help with.

The pilot starts by discovering the work that matters most. From there, we configure adapterOS and a secure enclave around your real review, reporting, and compliance needs.

Review documentsSummarize, compare, and inspect sensitive materials without exporting them.
Identify relationshipsFind connections across people, records, obligations, and source material.
Analyze dataWork through datasets and operational questions with replayable context.
Generate reportsProduce structured outputs with the supporting sources reviewers need afterward.
Check complianceMap workflow evidence to the controls and review paths your organization already uses.

Not another SaaS login. A managed path to owned AI infrastructure.

MLNavigator brings the experts, the secure hardware posture, and the operating discipline around a technology that too often behaves like a black box.

01

Discovery

We assess your workflows, data sensitivity, facility constraints, and success criteria with your team.

02

Pilot design

We choose a controlled first use case, define the policy pack, and agree on what reviewers need to see.

03

Secure enclave

We bring adapterOS onto local hardware and configure it for offline operation in your environment.

04

Operate and improve

We help you run the system, inspect source trails, tune workflows, and measure reliability, energy use, and cost.

Put sensitive document work on a safer path.

Give teams a faster way to read, compare, and route sensitive work while keeping review context close to every answer.

Start discoverySee the pilot path