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Research-led infrastructure for private, accountable AI

MLNavigator builds adapterOS for teams that must run AI locally and retain clear operational records.

We design for privacy, safety, and accountability in controlled or disconnected environments.

What we do

Private-by-default deployment

Run models on your hardware. No cloud dependency.

Reviewable operations

Generate structured operational records that connect context, configuration, and outputs.

Governed operations

Policies, lifecycle controls, and retained records that reviewers can inspect.

The Research Group

  • The technical core of the company. Research drives the product, not the other way around.
  • Publishes research notes, market context, and operating guidance.
  • Public materials frame the problem space while private technical work advances the product.
Research Notesmethodology · measurementSpecificationsframeworks · formatsadapterOSimplementation · runtimeField Feedbackoperator needs · gapsinforms next cycle
Browse research notes →Responsible AI →

Built for privacy, safety, and accountability

Privacy

Data stays local. No third-party model endpoint required.

Safety

Controlled execution and policy gates reduce accidental misuse.

Accountability

Operational records show what ran. They do not claim the output is correct.

Evidence helps reviewers make decisions. It does not replace judgment.

Environmental impact, treated like a system constraint

  • Measure and report compute cost per run using Joules-per-token methodology.
  • Support smaller, local models when appropriate.
  • Enable offline workflows that reduce unnecessary retransmission and duplication.

Read our public deployment roadmap →

Who it’s for

Teams

  • Security and compliance teams
  • Research and engineering teams
  • Operators in regulated or proprietary environments

Industries

  • Critical infrastructure
  • Manufacturing
  • Healthcare
  • Finance
  • Public sector and defense

Leadership

James KC Auchterlonie

Engineering and architecture

jkca.me

Donella D Cohen

Product and operations

donella.info

Funding and 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 informed product scope and deployment priorities.

MLNavigator Inc. is a Delaware C-corporation.