adapterOS
A deterministic, auditable AI runtime for sensitive and regulated environments.
Runs on local hardware. Every execution produces a signed run receipt, audit log, and policy enforcement record. No network calls. No telemetry.
Pilot-ready. Patent pending.
What it does
Deterministic conversation workflow
Runs AI conversations with deterministic replay. Same input, same adapter configuration, same output. Auditors can verify exactly what happened during any execution.
Evidence artifact generation
Every execution produces machine-readable evidence: signed run receipts, audit logs, policy enforcement records, and SBOM references. Retained on your hardware.
Adapter swap
Switch between model configurations through a governed lifecycle. Each adapter version is tracked, reviewed, and recorded in the audit trail.
Offline-first operation
No outbound network calls. No license servers. No telemetry. No cloud accounts. Runs on local hardware in air-gapped and classified networks.
What is real today
Working now
- ✓Deterministic conversation workflow
- ✓Deterministic replay of executions
- ✓Adapter swap between model configurations
- ✓Run receipt and audit log generation
- ✓Policy pack enforcement
- ✓SBOM generation
In progress
- ○Data ingestion pipeline
We do not market broad multi-site or federated deployment as the current story. The credible commercial wedge is one workflow, one environment, one deployment scope, one review path.
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 your policy pack, and validate the evidence pipeline against your acceptance criteria.
Operator handoff
Your team operates adapterOS. Ongoing support includes update distribution, artifact retention guidance, and incident response.
What adapterOS does not do
- ✕Does not guarantee output correctness. Evidence shows what happened. Humans decide if the output is right.
- ✕Does not guarantee model safety or alignment. We govern runtime behavior. Model quality is upstream.
- ✕Does not make outbound network calls, send telemetry, or auto-update. Updates are explicit and verified.
- ✕Not a cloud service, a SaaS subscription, a model marketplace, or a consulting engagement.
Evaluate adapterOS
Fixed-scope pilot. Hardware included. 2–4 months from briefing to production-ready. We respond within 2 business days.