adapterOS is the instrument.
A local system that answers from approved records, shows the source, and runs without outside services.
adapterOS is the working form of our research: answers stay bound to the records they came from, every run leaves a receipt, and sensitive work stays inside your environment. This page is the overview — run anatomy and product depth live on adapteros.com.
Pilot-ready. No per-token billing. Patent applications filed.
Read the full product story on adapteros.com →
Same team, two front doors: connect.adapteros.com runs the product briefing and pilot-criteria flow, while MLNavigator pilot contact is for comparing pilot scope, evidence, and pricing. Either way a field deployment is priced after a fit call — not a per-token meter. See the deployment phases and what you keep →
What you are really deciding
Most visitors are not shopping for another chat tool. They need permission to try AI on work that cannot leave the building — and something they can forward to security.
Is it safe enough to propose?
Private, offline-capable operation. No routine upload. Honest limits when support is weak.
Is the commitment bounded?
One workflow, one environment, hardware included. Priced by scope — not a token meter.
Can we defend the result?
Answers stay tied to sources. You leave with a review record whether or not you expand.
What adapterOS does
- ✓Approved records — Work is scoped to the sources you approve, not the whole company drive.
- ✓Source-traced answers — Each answer points back to the passage it came from.
- ✓Receipts — Every run leaves a signed line: model, policy, inputs, outputs.
- ✓Review packets — A readable bundle your reviewers can inspect on their own schedule.
- ✓Reused findings — A second question reuses prior context instead of starting over.
- ✓Local operation — Runs inside your environment — no outbound calls, no telemetry.
For run anatomy, reusable context, and what adapterOS is not, see how it works on adapteros.com.
Product detail on adapteros.com
This site stays focused on fit, pilots, and what you can defend internally. For the product loop, run anatomy, and runtime security boundary, use the adapterOS site.
What adapterOS is
The private evidence loop: sources, local run, grounded answer, reusable context.
How it works
What changes on the second run and what a review packet contains.
Product security boundary
What stays inside the deployment environment vs. this marketing site.
Request a product briefing
Work-email briefing materials before a scoped pilot conversation.
Start with a fixed-scope field deployment
One workflow, your environment, hardware included — roughly 4–8 weeks from kickoff. Local, 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.