Company
MLNavigator builds adapterOS for regulated buyers who are blocked on cloud upload but still need AI help on sensitive documents. The wedge is reusable private context with proof attached — not another chat subscription.
Why now: compliance pressure and facility boundaries are pushing document work local. We make that work safer to try, priced by scope, and easier to defend internally.
Delaware C-corporation. Pilot-ready. Patent applications filed. Product depth: adapteros.com.
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
Donella D Cohen
Product and operations
Validation
Non-dilutive grant funding supporting deployment tooling and compliance documentation.
Structured customer discovery focused on regulated operator needs and offline infrastructure requirements.
Conversations with security, compliance, and operations stakeholders across defense, aerospace, healthcare, finance, government, 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.
Talk to the founders
Operators: propose one bounded pilot. Investors: ask for the wedge, traction, and milestone story. We respond within 2 business days.
Start with a fixed-scope pilot
One workflow, your environment, hardware included — roughly 4–8 weeks from kickoff. Private, offline-capable, and priced by scope — not by the token. You leave with a review record you can show security and compliance, whether or not you proceed.