adapterOS runs locally, enforces policy-scoped determinism, and produces cryptographic receipts teams can verify during audit and incident review.
Company overview · Compliance roadmap · NSF I-Corps, $25k grant, and 50+ operator interviews
Designed to run without outbound network calls, license checks, or telemetry.
Receipts, manifests, and signed artifacts link outputs to inputs and configuration so audits don’t depend on screenshots or “trust us.”
Built for audit surfaces shaped by CMMC 2.0 Level 2 (a common requirement for DoD suppliers), AS9100 (aerospace quality), ITAR (export-controlled technical data), and FAA documentation workflows.
Non-confidential schematic
A typical run looks like: upload a drawing or document package, run offline checks, review flagged issues, then export an audit-ready proof pack (receipts, configuration, and hashes).
Regulated operators face audit exposure when AI execution cannot be reproduced or explained. MLNavigator focuses on runtime infrastructure that makes execution traceable, repeatable, and reviewable.
Local-first, verifiable AI infrastructure for regulated industries where cloud deployment is not permitted.
We do not promise the model is right. We aim to show what ran, with what configuration, against what input. That is what you can verify in an audit.
Artifacts should trace back to their origin. Model weights, adapters, and runtime are identified where possible.
Structured declarations of what should run. Machine-readable. Diffable.
Configurations can be signed so tampering is detectable.
Log entries can reference the previous; deletion or modification becomes detectable.
In transfer-heavy workloads, data movement dominates energy cost. Unified memory architectures can reduce this cost by eliminating copies between CPU and GPU memory. We measure this with Joules per token.
We document a measurement methodology for Joules/token benchmarking on Apple silicon.
macOS powermetrics API • 10-run averaging • thermal normalization • documented tolerances
A practical guide to GPU nondeterminism for regulated deployments: where variance comes from, what controls work, and how to document deterministic scope honestly.
Company and product overview: market need, product scope, validation status, and business model.
What adapterOS verification covers, what it does not cover, and where human oversight applies.
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