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Company

MLNavigator Inc. is a Delaware C-corporation building adapterOS, a controlled AI workspace for sensitive document work.

Pilot-ready. Available for pilot engagements. Patent applications filed.

Why this company exists

Teams with sensitive documents want the speed of AI without copying contracts, reports, tickets, policies, or technical records into tools they cannot inspect.

The bottleneck is not only model access. It is whether the work stays controlled, cites the right sources, and fits the review process people already trust.

We build the local workspace and review layer around that problem. Operators get useful answers; reviewers get the source trail, control result, and context needed to decide whether the output is acceptable.

Leadership

James KC Auchterlonie

Engineering and architecture

jkca.me

Donella D Cohen

Product and operations

donella.info

Validation

ACCEL-KS Proof of Concept Grant

Non-dilutive grant funding supporting deployment tooling and compliance documentation.

NSF I-Corps

Structured customer discovery focused on regulated operator needs and offline infrastructure requirements.

50+ discovery interviews

Conversations with security, compliance, and operations stakeholders across defense, aerospace, and critical infrastructure informed product scope and deployment priorities.

Responsible AI

Responsibility starts with a narrow boundary: approved sources, local operation, visible review context, and humans deciding whether an output is acceptable.

Privacy

Data stays local. No outbound calls. No telemetry.

Safety

Policy gates and controlled execution reduce misuse surface.

Accountability

Source trails show why an answer was produced. They do not claim correctness.

Efficiency

Joules-per-token measurement. Smaller models when adequate.

Full responsible AI details →

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