Government AI that meets federal standards and delivers.
AI strategy and data platforms for federal agencies, state governments, and public sector contractors. FedRAMP-authorized infrastructure, FISMA-compliant data architecture, and production AI that survives ATO processes and delivers real mission outcomes.
Public sector AI initiatives face a unique set of barriers: procurement cycles that outlast vendor roadmaps, ATO processes that require documented security architecture before a line of code is written, and data that spans classification levels, jurisdictions, and legacy system formats built over decades.
Yearling Solutions brings engineers who have navigated federal compliance requirements, worked with GovCloud environments, and built data platforms that integrate with systems of record that predate the cloud. We design AI and data solutions that move through ATO and procurement, not around them.
Standards & Regulatory Context
The compliance landscape that shapes AI and data programs in the public sector.
FISMA & NIST RMF
Risk Management Framework alignment, system categorization, and security control selection for federal information systems.
FedRAMP
Cloud service authorization requirements and FedRAMP-authorized service selection for government data platforms.
CMMC 2.0
Controlled Unclassified Information (CUI) data handling requirements for defense contractors building AI and analytics systems.
Executive Order 14110 on AI Safety
Federal AI governance requirements including risk assessment, transparency, and responsible AI development obligations.
OMB M-24-10 (Advancing AI Governance)
Agency AI governance requirements, Chief AI Officer responsibilities, and responsible AI use standards.
Section 508 Accessibility
Accessibility requirements for citizen-facing AI applications, dashboards, and data products.
What We're Seeing
The data and AI challenges driving conversations with public sector technology leaders today.
AI initiatives blocked at the ATO stage
Many government AI projects stall during authorization because security architecture and data handling documentation were not designed in from the start. ATO-aware engineering is not a phase after development.
Mission data trapped in legacy systems
Federal agencies often hold decades of mission-critical data in mainframe and on-premise systems that were never designed for analytics. Moving this data without disrupting operations requires careful integration architecture.
Procurement cycles that outpace technology
By the time an AI platform is approved and deployed, the underlying technology may have advanced significantly. Data platform architecture needs to be modular enough to accommodate rapid evolution in AI capabilities.
CUI handling gaps in AI development workflows
Teams using commercial AI tools to process Controlled Unclassified Information create compliance risk. Government AI development requires documented data handling that satisfies FISMA and CUI requirements.
How We Help
Production AI and data engineering for federal, state, and local government organizations.
FedRAMP & FISMA-Compliant Data Platforms
- GovCloud (AWS, Azure, Google) data architecture design
- FedRAMP-authorized service selection and authorization boundary documentation
- Security controls implementation aligned to NIST SP 800-53
- ATO-ready system security plan and data flow documentation
Mission Analytics & Intelligence
- Geospatial and temporal analytics for mission operations data
- NLP and document intelligence for regulatory and legal corpus analysis
- Predictive analytics for resource allocation and service delivery
- Multi-source data fusion pipelines for cross-agency analytics
Citizen Services AI
- Conversational AI for citizen inquiry handling with accessibility compliance
- Benefits eligibility and case management automation
- Document processing and form data extraction pipelines
- Multi-lingual NLP for diverse constituent populations
Data Modernization
- Legacy system data extraction and migration to modern cloud platforms
- Master data management for cross-agency data sharing
- Data governance frameworks aligned to NIST and FISMA requirements
- CUI-aware data classification and access control implementation
Perfect For
Federal agencies, state governments, and public sector contractors building mission AI and data capabilities.
Federal agencies building FedRAMP-authorized analytics platforms on their existing cloud infrastructure
Defense contractors building CUI-compliant AI systems for government programs
State health and human services agencies automating benefits eligibility and case management
Local governments building citizen service automation with Section 508 compliance
Government contractors migrating mission data from on-premise systems to GovCloud
Agencies modernizing document processing workflows with NLP and intelligent data extraction
Proof in Public Sector
Real engagements with measurable outcomes.
Defense contractor achieves CMMC 2.0 Level 2 certification in 6 months
Controls implementation, evidence automation, and assessor preparation for a defense contractor. The same disciplined approach we apply to CUI data handling in government AI systems.
Read case studyAI & Data EngineeringLLM benchmarking framework accelerates enterprise AI adoption
Rigorous model evaluation that removes guesswork from AI selection. The same framework applies to government AI procurement where performance documentation is required before deployment.
Read case studyData EngineeringEnterprise data retrieval system improves analyst productivity
Semantic search over large unstructured document corpora. The same retrieval architecture powers regulatory research, contract analysis, and policy document intelligence for government teams.
Read case studyPair Data with Compliance
YearlingIQ for Federal & CMMC
Automate compliance evidence collection for CMMC, FISMA, and NIST RMF alongside your government data platform program.
Ready to build government AI that clears the ATO?
Talk with engineers who understand federal compliance requirements, GovCloud environments, and the data challenges unique to public sector organizations.