MLNavigator / adapterOS
Auditable AI runtime for
regulated environments
Adapter-based runtime for deployable, auditable AI in air-gapped, compliance-bound, and defense contexts. Currently in prototype deployment and pilot-readiness stage.
Why Now
The spending is already here
Defense AI spending vs. 2026 compliance milestones
Annual defense AI spending ($B) with EU AI Act and CMMC Phase 2 enforcement dates.
2027-2031 projected using 30.1% CAGR estimate. Sources: DoD FY2026 Budget; Knowledge Sourcing Intelligence; EU AI Act Art. 99; CMMC Program
Cost Thesis
CMMC compliance cost and where adapterOS fits
Level 1
$5K - $15K
Basic cyber hygiene. Mostly internal time.
Level 2
$75K - $300K
Most common. $30-70K assessment, $20-100K infrastructure, $15-80K consulting.
Level 3
$500K+
Highest security. Government-assessed. Required for CUI.
adapterOS does not replace CMMC compliance spend. It reduces the incremental cost of deploying AI inside a CMMC-bound environment.
Infrastructure
Keeps AI local, reducing extra SaaS, shadow environments, and cross-boundary integrations.
Consulting
Simpler boundaries and data flow reduce architecture and documentation overhead.
Internal Labor
Structured receipts and centralized runtime reduce evidence collection and rework.
Maintenance
One governed AI surface lowers recurring operational sprawl.
Product
What adapterOS is
Runtime + Adapters
Not a model company. A runtime layer that adapts existing models for auditable execution in constrained environments. Zero cloud dependency.
Technical wedge
- Tracked inference runs produce cryptographically signed receipts
- Reproducibility under fixed conditions (same input + adapter)
- Replayable execution with hash verification
- Model-agnostic — adapters wrap any supported model
Proof
Receipt pipeline (prototype)
Tracked inference runs can produce signed execution receipts. Verification workflow in active development.
run_id: 7f3a9c2e-81d4-4b0f-a6e3-5d8f12c7b490
model: qwen2.5-14b-q4
adapter: aerospace-compliance-v1
input_hash: 91ac4f7b...e83d
output_hash: 44bd92a1...f7c2
receipt_hash: blake3:aa72d6f0...3b19
deterministic: true
timestamp: 2026-03-22T18:44:31Z
Build Status
Current system state
Inference pipeline — operational, running locally on Apple Silicon
Receipt generation — prototype, blake3 hashing per tracked run
CLI + API + web — operational
Audit logging — operational, timestamp/user/model/I/O
RBAC + isolation — in progress, not production-hardened
Compliance mapping — design-aligned for CMMC/ITAR workflows
Traction
2026 engagements
- Conversations across aerospace, defense, and federal-adjacent environments
- 1 pilot engagement currently being scoped
- NSF I-Corps participant
- Kansas ACCEL grant — Kansas Department of Commerce
- 2026 ecosystem engagement includes Georgetown AI CoLab, Microsoft BizApps DC, NDIA Fort Worth
Raise
$1.25M
Team
2 Founders
Entity
Delaware C-Corp
Product
adapterOS
Runway Target
15 Months
Stage
Prototype / Pilot-readiness
Team
Founders
CEO / Co-founder
Ex-Textron, Bombardier. Systems engineer. Built adapterOS — Rust-native runtime, cryptographic receipts, offline-first deployment. NSF I-Corps, Kansas ACCEL.
CPO / Co-founder
Ex-Microsoft, IBM, Weather Channel. Senior technical product manager. Deployment readiness, regulatory alignment, pilot execution across ML systems and enterprise platforms.
Execution
Milestones
90 Days
- Verifiable deterministic receipt demo
- Investor technical walkthrough
- Target: first pilot scoped
180 Days
- Target: pilot deployed on customer hardware
- Receipt + audit pipeline hardened
- CMMC/ITAR compliance mapping package
12 Months
- Target: first production deployment + paid contract
- 2-3 pilots completed or in progress
- Enterprise deployment-ready package
Use of Funds
$1.25M round
- Target: 2-3 pilot deployments on customer hardware
- Hardened runtime with production-grade receipt pipeline
- First enterprise deployment-ready package
- Compliance mapping and documentation for targeted CMMC/ITAR-aligned workflows
- Target: first paid contract
Materials
Investor materials
Next step
Request a technical walkthrough with the founding team.