adapterOS
A controlled AI workspace for sensitive documents.
Teams use adapterOS to read long packets, compare records, find obligations, draft review notes, and keep sources attached without sending sensitive material to a cloud model.
Pilot-ready. Patent pending.
What it helps teams do
Read and compare documents
Review contracts, reports, tickets, policies, spreadsheets, and technical records inside one approved workspace.
Ask within a focus
Configure a focus around a workflow so the system knows which dataset, policy boundary, and output shape are allowed.
Keep sources attached
Answers include citations, proof tier, and reviewer context so a person can inspect why the response says what it says.
Work locally
Pilot deployments are designed for local hardware, no routine sensitive-data egress, and explicit update handling.
What is real today
Working now
- ✓Source-backed answers with a proof tier on every response: exact, evidence, lineage, or degraded.
- ✓Deterministic replay for any past answer.
- ✓Authoritative token accounting. Estimates are not presented as billable usage.
- ✓Evidence-write durability. If sources are not persisted, the answer downgrades visibly.
- ✓Pilot validation. The latest strict-mode run passed all steps on May 3, 2026.
Pilot evidence
The credible commercial wedge is one workflow, one environment, one deployment scope, and one review path. The proof tier is the moat: adapterOS shows when an answer is exact, evidence-backed, lineage-backed, or degraded.
How it deploys
Hardware included
MLNavigator ships hardware pre-loaded with adapterOS. No separate procurement. No BYO hardware complexity.
Managed install
We install adapterOS in your environment, configure the source set and review path, and validate the workflow against your acceptance criteria.
Operator handoff
Your team operates adapterOS. Ongoing support includes update distribution, review-record retention guidance, and incident response.
What adapterOS does not do
- ✕Does not guarantee output correctness. Sources show why an answer was produced. Humans decide if the output is right.
- ✕Does not guarantee model safety or alignment. We govern how document work is scoped, cited, and reviewed. Model quality is upstream.
- ✕Does not make outbound network calls, send telemetry, or auto-update. Updates are explicit and verified.
- ✕Not a cloud document upload service, model marketplace, or open-ended consulting engagement.
- ✕Does not replace reviewer sign-off. adapterOS records evidence for review. It does not make the decision for the team.
Evaluate adapterOS
Fixed-scope pilot. One document workflow. Hardware included. Deployment starts with the selected document, dataset, adapter, focus, and acceptance criteria.