Feb 11, 2026
MLNavigator and adapterOS
Company and product overview for local AI operations in audit-heavy environments.
Secure Offline AI Infrastructure for Regulated Systems
MLNavigator builds governed offline AI infrastructure
designed for regulated, local, and high-assurance environments.
- ACCEL-KS Proof of Concept Grant
- NSF I-Corps
- 50+ Operator Interviews
The Problem with Today’s AI Systems
- Unclear runtime behavior makes audit evidence harder to trust
- Ad-hoc deployment workflows make review and change control difficult
- Cloud-dependent runtimes are incompatible with air-gapped and classified environments
Core Technology: adapterOS
Governed Runtime Behavior
Documented operating policies keep offline AI operations controlled and reviewable.
Deployment Records
Reviewable deployment records support audit workflows, incident response, and change control.
Offline Deployment
Runs without outbound network calls, license servers, or telemetry. Designed for air-gapped and classified networks.
Designed for Regulated Environments
Aerospace & Defense
ITAR, CMMC, and air-gapped deployment requirements
Critical Infrastructure
Offline operation in energy, transport, and utility systems
Regulated Finance
Audit trails and model governance for compliance teams
Government & Public Sector
Sovereign data, classified networks, and FedRAMP-aligned controls
Latest Research & Market Notes
View all →Jan 29, 2026
Compliance Roadmap
High-level positioning around CMMC, AS9100, and ITAR-aligned deployment needs.
Selected Reading
Feb 11, 2026
MLNavigator and adapterOS
Company and product overview for local AI operations in audit-heavy environments.
Jan 29, 2026
Compliance Roadmap
High-level positioning around CMMC, AS9100, and ITAR-aligned deployment needs.