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Fixed Budgets Deserve
Fixed Pricing

Budgets that grow in recessions. Requirements that never relax.

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The Appropriations Problem

Government appropriations are fixed annual budgets. Database vendors charge per query. AI workloads grow queries exponentially. These two facts are structurally incompatible.

Millions
SEC EDGAR Filings Annually
Trillions
CFTC Derivatives Oversight
10,000+
FTC Consumer Complaints
215,000
CPPA DROP Users
Your enforcement mandate is growing. Your headcount isn't. AI-powered analytics is the only way to close the gap. But if every AI query costs money, you can't predict what your database bill will be. And in government, unpredictable costs kill programs.

MinusOneDB for Government

Pillar 01

Capacity Pricing = Appropriations-Compatible

  • Fixed monthly cost. ~5M queries/month included.
  • No mid-year supplemental requests because people ran more queries than expected
  • Budget with confidence. Report actuals that match projections.
Pillar 02

Data Sovereignty by Architecture

  • Your data stays on your infrastructure. Period.
  • Not a policy — an architectural guarantee
  • No data leaves your environment. No third-party cloud dependency.
  • SOC 2 certified. Sovereign architecture simplifies future authorization paths.
Pillar 03

AI-Native Design

  • Built for the query volumes AI enforcement generates
  • Market surveillance, compliance scanning, investigative analytics — all unlimited
  • No throttling AI workloads to stay within budget
You're the agency that enforces data sovereignty for citizens. Your own infrastructure should embody that principle. When your database vendor hosts your data in their cloud, you're outsourcing the very control you regulate. MinusOneDB eliminates that contradiction.

3-Year TCO Comparison

Per-Query DatabaseMinusOneDB
Year 1 (current workload)$500K$180K
Year 2 (AI workloads grow 2x)$1.0M$180K
Year 3 (AI workloads grow 4x)$2.0M$180K
3-Year Total$3.5M$540K
Hidden CostPer-Query DBMinusOneDB
FinOps / cost management overhead$360K/yr$0
Compliance audit (data residency)$60K/yr$0
These are conservative estimates. The per-query cost scales linearly with AI query volume. In three years, you've saved $3M+ and you haven't throttled a single AI workload.

NIST Framework Alignment

We didn't bolt compliance onto a database. We built the database so compliance is architectural.

NIST RequirementMinusOneDB Compliance
PF 1.1 — Data minimizationAudit logging, compliance-ready architecture
PF 1.1 — AI privacy risksCapacity pricing removes incentive to cache/retain data
SP 800-53 — Access controlsRole-based access, audit logging
SP 800-172r3 — CUI protectionData never leaves your infrastructure
AI RMF — GovernanceDeterministic query results, verifiable analytics
CSF 2.0 — Supply chain riskNo third-party cloud dependency
When your auditors ask "where is this data?", the answer is always "on your infrastructure." When they ask "who has access?", the answer is always "only your authorized users." These aren't configuration options. They're design guarantees.

The Sovereignty Mandate

Regulatory drivers requiring demonstrable control over government data.

Executive Order on AI

  • Agencies must manage AI responsibly
  • Requires governance frameworks for AI-powered systems

NIST SP 800-172r3

  • Enhanced CUI protection requirements
  • Data residency and access control mandates

SOC 2 Certified

  • Independent audit of security controls and data handling
  • Sovereign architecture simplifies future compliance paths

Procurement Path

We start with a pilot that proves the value on your own data. No commitment until you see the numbers.

Phase 1: Pilot Assessment

2 weeks

Identify top 10 highest-cost queries from current database. Import datasets and benchmark MinusOneDB.

Phase 2: Security Review

2 – 4 weeks

Architecture review against agency security requirements. SOC 2 documentation provided.

Phase 3: Proof of Value

4 – 6 weeks

Run production workloads in parallel. Measure cost delta and performance parity.

Phase 4: Production Deployment

4 – 8 weeks

Full migration of target workloads. Training, documentation, and ongoing support.

Outcompete on backend cost and dev speed using m1db.
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