Safe AI for sensitive documents — private, offline, and yours to inspect.
MLNavigator builds adapterOS for teams that cannot send contracts, records, or reports to a cloud AI service. Work stays in your environment, costs stay predictable, and every answer can leave behind a compliance-friendly record your reviewers can read.
Inside your environmentNo document egress
- MSA v4 sec. 8.2
- Addendum p.3
- Policy sec. 11
- Policy
- Human approval before use
- Record
- Kept locally for replay
See the review packet
Not a chat subscription. Not a token meter. A safer way to use AI on work that has to stay private, offline, and reviewable.
What buyers actually care about
Teams come to us for one reason: they need AI help on work that cannot casually leave the room. These are the promises adapterOS is built around.
Private by design
Sensitive documents stay inside your building, your network, and your control. No routine upload to a vendor cloud just to ask a question.
Works offline
Run document work without depending on an outside AI service. Disconnected, air-gapped, and facility-bound environments are first-class.
No token-metered surprises
Engagements are scoped around the workflow — not a meter that ticks up every time someone asks a follow-up. Predictable pilot pricing, not chat subscription math.
Built for compliance review
Every answer can carry sources, reviewer notes, and a record your security, legal, or compliance team can read later — without calling us to explain what happened.
Lower operating overhead
Local inference on efficient hardware avoids the always-on cloud bill and the round-trip cost of shipping the same context back to a remote model again and again.
Honest about limits
When the system cannot fully support an answer, it says so plainly instead of sounding confident. Safer for regulated work than a chat box that never admits doubt.
Your documents should not have to leave to get help.
Some work belongs inside the building, the facility, or the classified network. adapterOS starts there: private operation, offline-capable deployment, clear reviewer sign-off, and a record that shows what was used and what was said.
Customer environment
Source docs
adapterOS
Specialist workspace
Review records
No routine document egress
Start with one real job, not a platform tour.
Pick a document workflow your team already struggles with. Try adapterOS on that job in your own environment, see if it saves time, and keep a record solid enough for compliance or security review.
Private
Keep sensitive work inside.
No routine upload to a vendor cloud. Your source material stays under your control.
Offline-ready
Keep working without outside AI.
Built for facilities and networks where outside connectivity is limited, monitored, or off limits.
Reviewable
Leave a record people can trust.
Sources, reviewer notes, and clear limits stay attached — safer than a black-box chat answer.
What changes for your team.
Less copying into cloud tools. Less re-reading the same packet. More answers your reviewers can actually sign off on.
Private document workRead, compare, summarize, and draft from approved materials without sending them away.
Offline when you need itKeep going in disconnected, air-gapped, or tightly controlled environments.
Scoped to the jobOnly the documents, policies, and reviewers that belong to the workflow — not the whole company drive.
Sources stay visibleAnswers point back to the material they came from, so a human can check before anything moves forward.
Compliance-friendly recordsLeave behind a readable trail for security, legal, audit, or accreditation review.
Predictable engagement costScoped pilots and deployments — not a token meter that punishes follow-up questions.
A pilot starts with one bounded workflow.
Bring one document job that already matters. We shape the workspace around the people, sources, and review standard that make that job real.
01
Pick the workflow
Choose the review, reporting, or compliance task where sensitive documents already slow the team down.
02
Configure the workspace
Load the approved sources, define the reviewer route, and set the boundary for what the specialist can use.
03
Use it with real work
Run questions, comparisons, summaries, and drafts on local hardware with the team that owns the process.
04
Decide with evidence
Measure usefulness, source quality, review fit, deployment burden, and whether the workflow should expand.
Pick the conversation you came for.
The same product supports four different relationships. Choose the one that matches why you are here; your domain context travels with you.
Understand the product
Explore adapterOS
See what the workspace does, what is real today, and how it gets into your environment.
Deploy it on one workflowDiscuss a pilot
Scope a fixed evaluation around a document job your reviewers already own.
Invest or partnerFunding / Partnership
Talk to the founders about the wedge, the evidence model, and where this goes next.
Test it with usResearch / Beta Collaboration
Put adapterOS through real workloads as a beta tester or research partner.
Common questions
Does my data leave our environment?
The product is designed so sensitive source material stays local. Your documents are not sent to train someone else’s model, and routine document work does not depend on uploading files to a cloud AI service.
Do we need the internet to use it?
No for the sensitive workflow itself. adapterOS is built for on-prem and offline operation. Your team can keep working even when outside connectivity is limited or forbidden.
How does pricing work?
We start with a fixed-scope pilot — one workflow, one environment, hardware included. You are not buying a per-token chat subscription. Commercial scope is agreed before deployment, not metered surprise by surprise.
Will compliance and security teams accept this?
That is the point. Answers come with sources attached, limits are visible when support is incomplete, and your reviewers get a readable record they can inspect on their own schedule.
Is this just another chatbot?
No. Chat can be one way to interact, but the product is a controlled workspace for document work — scoped sources, human review, local operation, and records you can show an assessor.
What about energy and operating cost?
Running locally on efficient hardware avoids paying cloud providers to re-read the same packet on every follow-up question. Teams also avoid the hidden cost of shipping context out and back again all day.
- NSF I-Corps
- ACCEL-KS Grant
- 50+ operator interviews
- Patent pending
Start with one work record your team can inspect.
Bring one sensitive workflow, the source boundary, and the review standard it has to satisfy. We will map the pilot around the record your team needs at the end.