Federal, state & local government

Mission-critical AI, accountable by design.

AI for agencies where decisions must be traceable and data cannot leave the network. Air-gapped deployments, NIST AI RMF-aligned governance, and documentation that survives Inspector General review.

FedRAMP-aware NIST AI RMF Air-gapped FOIA-aware

What we build for public agencies

Policy & request automation

AI that evaluates incoming requests against agency policy — approve, deny, or escalate with citations to the specific clause. See the DocuSentinel AI case study.

Situational-awareness platforms

Geospatial + sensor + open-data fusion for emergency response, infrastructure, and environmental programs. See AquaAccess and Francisca.

Internal knowledge assistants

Private LLM assistants trained on agency manuals, SOPs, and historical precedents. Fully offline, with every answer citable.

Why offline AI fits public sector

Government AI adoption stalls on the same three problems: (1) the data can’t go to a commercial API, (2) every decision needs a defensible paper trail, and (3) procurement won’t approve a vendor lock-in. Our model — open-weight models on agency infrastructure with full observability — addresses all three in one architecture.

Governance & compliance

  • NIST AI Risk Management Framework alignment documented from the first sprint
  • Model cards, evaluation reports, and bias assessments suitable for agency AI inventory requirements
  • MITRE ATT&CK-aware threat modeling on every deployment
  • Air-gapped deployments where connectivity is prohibited
  • Experienced with cleared-facility working agreements and NDA frameworks

Contracting notes

We can engage directly or as a subcontractor through established prime vendors. We are happy to execute under federal NDAs, support DUNS/SAM registration questions, and work within GSA/IDIQ flows where applicable.