Citizen data, procurement scrutiny, and a mandate that no single vendor can hold you hostage. AI here has to be auditable and, often, air-gapped.
Public agencies face a constraint the private sector can dodge: the data belongs to citizens, the budget belongs to taxpayers, and the audit is public record. An AI program that depends on one foreign-owned API is a sovereignty problem, a procurement problem, and a headline risk, all at once.
At the same time, the workloads are real: casework summarization, records processing, translation, citizen-service triage. These are exactly the narrow, high-volume tasks where small private models excel, and where owned infrastructure at government scale is often cheaper than metered tokens by year two.
Sovereign does not mean isolated. It means the capability survives any single vendor leaving, the audit trail is complete, and high-impact decisions escalate to a human by architecture rather than by memo.
Sovereign and air-gapped SLMs running on owned or colocated hardware, with no hard dependency on a single hyperscaler.
Zero-trust access, complete audit trails, and human escalation on any high-impact or citizen-facing decision.
A sovereign deployment blueprint plus a cloud-vs-owned-vs-colo TCO model that stands up to procurement review.
Open-weight models on owned or colocated hardware: capability that persists across vendor and contract changes.
Fully disconnected deployments for classified or high-sensitivity enclaves.
Per-role, per-dataset access with continuous verification, not perimeter trust.
Complete decision logs, retained on a schedule that anticipates FOIA and oversight.
Cloud versus owned versus colocation modeled transparently enough to survive committee review.
Three properties: the models run on infrastructure you control, the capability survives any vendor exiting, and every decision is auditable by your own institutions. It is an architecture, not a procurement label.
At government document volumes, frequently yes. Metered pricing compounds with scale while owned capacity amortizes. The TCO calculator on this site models the break-even with your numbers, and the full audit produces a procurement-ready version.
Our position is that high-impact, citizen-facing decisions get human escalation by design. AI drafts, triages, and prepares; an accountable human decides. That boundary is built into the stack, not left to training.