Engineer AI hosting environments that meet stringent U.S. Federal Risk and Authorization Management Program (FedRAMP) security controls.
Services

Engineer AI hosting environments that meet stringent U.S. Federal Risk and Authorization Management Program (FedRAMP) security controls.
Deploy AI with authorized cloud services for government agencies and contractors. Our service delivers a fully compliant environment—from initial security control mapping to final authorization support—enabling you to focus on mission-critical AI applications.
We architect the secure foundation so you can deploy AI with confidence, meeting federal mandates without sacrificing innovation speed.
Terraform and Ansible with auditable, repeatable configurations for AWS GovCloud, Azure Government, or on-premises stacks.Security Package templates and expertise to shorten your Authority to Operate (ATO) timeline by 40%.This service is part of our broader Sovereign AI Infrastructure Development pillar, which also includes Air-Gapped AI System Deployment for the highest security assurance and EU AI Act Compliant AI Development for European mandates.
Achieve mission-critical AI deployment with a platform engineered to meet the highest U.S. federal security standards, delivering tangible operational and strategic advantages.
Leverage our pre-built, continuously audited infrastructure to reduce your FedRAMP authorization timeline from 12-18 months to under 6 months. Our platform includes pre-configured security controls, documented evidence packages, and integration with accredited FedRAMP 3PAOs.
Deploy AI with a 99.9% uptime SLA backed by geographically redundant, U.S.-based data centers. Our infrastructure ensures high availability for critical applications, with automated failover and continuous monitoring to meet Federal Continuity of Operations (COOP) requirements.
Mitigate supply chain threats with a fully vetted stack. We use hardware from Trusted Foundry programs, open-source software with verified SBOMs, and employ a zero-trust architecture. This directly addresses NIST SP 800-161 and CMMC requirements for critical software.
Transition from unpredictable cloud spend to a fixed-cost, FedRAMP-authorized environment. Our platform includes built-in FinOps tools for AI workload optimization, eliminating the cost and complexity of securing and monitoring a DIY compliant cloud.
Operate a full machine learning lifecycle—from data ingestion to model deployment—within a certified boundary. Our sovereign AI MLOps platform provides version control, CI/CD pipelines, and monitoring that are fully air-gapped from public repositories, enabling rapid, secure iteration.
Build on an architecture designed for evolving mandates. Our platform's core principles of data residency, hardware segmentation, and network isolation provide a direct path to compliance with the EU AI Act and other global sovereign AI frameworks, protecting your long-term investment.
Our structured, multi-phase approach to building FedRAMP-compliant AI infrastructure reduces technical and compliance risk, accelerates the authorization timeline, and ensures continuous value delivery.
| Phase & Deliverables | Timeline | Key Outcomes | Authorization Progress |
|---|---|---|---|
Phase 1: Security Control Gap Analysis & Architecture Blueprint | 2-3 weeks | Comprehensive FedRAMP control mapping, technical architecture design, and prioritized remediation roadmap. | Foundational documentation for System Security Plan (SSP). |
Phase 2: Core Infrastructure & Technical Control Implementation | 4-6 weeks | Deployment of secure, air-gapped compute environment; implementation of logging, monitoring, and encryption controls per NIST 800-53. | Ready for 3PAO pre-assessment; 60% of technical controls validated. |
Phase 3: Continuous Monitoring & Policy Automation | Ongoing | Operationalization of continuous monitoring tools, automated compliance checks, and security incident response playbooks. | Full operational capability (FOC); supports ongoing assessment for Authority to Operate (ATO). |
Total Time to Operational Readiness | 6-9 weeks | Fully functional, compliant AI hosting environment ready for model deployment and security assessment. | Accelerates path to Provisional Authorization to Operate (P-ATO) by 40-60%. |
Compared to In-House Build | 6-12+ months | Eliminates unguided control implementation, reduces rework, and provides expert-led compliance narrative. | High risk of failed assessment or major findings without experienced FedRAMP partner. |
Our FedRAMP-compliant infrastructure is engineered to meet the stringent security and operational demands of U.S. federal agencies, defense contractors, and intelligence communities, enabling secure AI deployment at scale.
We engineer and operate AI environments that meet all FedRAMP security controls. Our systems are designed for authorization, with continuous monitoring and audit-ready documentation to support your agency's ATO process.
For the most sensitive workloads, we design and deploy fully isolated AI training and inference clusters with no external network connectivity, preventing data exfiltration and ensuring the highest security assurance. Learn more about our Air-Gapped AI System Deployment methodology.
Guarantee that all training data, model weights, and inference outputs are processed and stored exclusively within U.S. borders. We implement technical controls and provable audit trails for full data lineage and residency assurance, aligning with mandates for Sovereign AI Data Residency Assurance.
We provision and manage dedicated AI accelerators (GPUs, NPUs) and compute clusters that are physically reserved for your entity. This ensures performance isolation, prevents resource contention, and mitigates supply chain risks through vetted procurement.
Our infrastructure includes AI-native security monitoring that goes beyond traditional IT. We implement frameworks like MITRE ATLAS to detect and respond to novel AI threats, including model manipulation and data poisoning, as part of our AI Red Teaming and Adversarial Defense services.
Operate a complete, sovereign machine learning lifecycle within your controlled environment. Our platform enables secure model development, versioning, CI/CD, and monitoring without reliance on external, non-compliant SaaS tools, ensuring end-to-end governance.
Get clear, specific answers to the most common questions about deploying AI in environments that meet U.S. federal security standards.
Contact
Share what you are building, where you need help, and what needs to ship next. We will reply with the right next step.
01
NDA available
We can start under NDA when the work requires it.
02
Direct team access
You speak directly with the team doing the technical work.
03
Clear next step
We reply with a practical recommendation on scope, implementation, or rollout.
30m
working session
Direct
team access