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The Algorithm
AI Platform Engineering×Government

AI Platform Engineering for Government & Public Sector

Production AI for regulated environments — deployed for the regulatory and operational reality of government.

The Challenge

Why Government needs AI Platform Engineering done differently.

Government AI faces the most demanding compliance environment: FedRAMP, FISMA, NIST AI RMF, and section 508 simultaneously. Most commercial AI vendors cannot meet these requirements. Building AI for government means building from the compliance framework out.

Compliance Frameworks
fedramp
stateramp
fisma
nist
fips 140
Methodology

How We Deliver

Our AI teams come domain-qualified. They understand your regulatory landscape before they write their first line of code. Compliance is enforced automatically through ALICE at every commit. In government, this means FEDRAMP and STATERAMP compliance is enforced at every commit.

Capabilities Deployed
Custom AI/ML system development
Compliance-native architecture
Multi-model orchestration
Real-time inference infrastructure
Model monitoring and governance
Regulatory audit trail automation
Domain-qualified government engineers assigned before kickoff
FEDRAMP compliance mapped to architecture on day one
Production-ready output — not prototypes or POCs
Automated compliance monitoring through ALICE at every commit
Full IP ownership transferred at engagement close
Embedded Capabilities

Related Platforms

These aren't products we sell. They're capabilities embedded in every engagement of this type.

Claire
AI-Powered Digital Labor
When our teams deploy Claire, clients get AI agents that handle operational tasks while maintaining full compliance. It's why our engineers can focus on high-value architecture while routine operations run autonomously.
Regure
Regulatory Intelligence
Our teams deploy with live regulatory monitoring. When HIPAA, GDPR, UAE PDPL, or FCA frameworks change, Regure flags it and queues the engineering response before the client's legal team finishes reading the announcement.
ALICE
QA & Compliance Engine
This is the single most important reason our teams deliver compliance-native systems. ALICE makes it mechanically impossible to ship non-compliant code. It's not a QA phase — it's infrastructure-level enforcement at every commit.
Scope

Typical Engagement Scope

Team
25-50 engineers
Duration
16-24 weeks
Output
FedRAMP-ready AI infrastructure with full audit trail and documentation package
Every engagement includes: compliance documentation · audit trail automation · self-healing infrastructure · full IP transfer

Need AI Platform Engineering in Government?

Our engineers understand government before they write their first line of code. Production AI for regulated environments.

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Related
Parent Service
AI Platform Engineering
Parent Industry
Government & Public Sector
Related
Compliance Infrastructure for Government & Public Sector
Related
Enterprise Modernization for Government & Public Sector
Region
AI Platform Engineering in United States
Region
AI Platform Engineering in United Kingdom
Knowledge Base
FEDRAMP
Knowledge Base
FISMA
Why Switch
vs. Deloitte
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