Engineered as one system.
Cybersecurity, AI, cloud, and virtualization. We do not sell four disconnected service lines. We architect a platform, then secure, modernize, instrument, and run it with the same team.
Authorization that keeps pace with delivery.
We run the Risk Management Framework the way it was meant to work, as continuous monitoring rather than a triennial fire drill. Control inheritance is designed into the platform and evidence is collected automatically from the pipeline.
- RMF end to end: categorization, control selection, implementation, assessment, authorization support
- Continuous ATO and ongoing authorization built on automated evidence collection
- Zero trust architecture aligned to the DoD Zero Trust Strategy and CISA maturity model
- Security control assessment and audit readiness for FISMA, FedRAMP, and CMMC 2.0
- Vulnerability management, STIG hardening, and secure baseline engineering
- Incident response planning, tabletop exercises, and SOC engineering support
Get the data right before you get excited about the model.
Most federal AI programs fail on data plumbing and governance, not on algorithms. We build the pipelines, the lineage, and the guardrails first, then deploy models that survive an inspector general review.
- Data engineering: ingestion, cleaning, lineage, cataloging, mission data platforms
- Analytics and decision support that put answers in front of operators
- MLOps: model versioning, monitoring, drift detection, secure deployment pipelines
- AI governance aligned to the NIST AI Risk Management Framework and agency policy
- AI fluency training for government teams, practical and role-specific
- Retrieval systems built on authoritative agency data with access controls intact
Move the mission, not just the servers.
A lift and shift that carries the old architecture into the cloud buys you a bigger bill and the same problems. We modernize the parts that matter and leave the rest alone on purpose.
- Cloud migration and hybrid architecture across AWS, Azure, and Google Cloud, including GovCloud and IL5
- Application modernization and refactoring of legacy systems with a documented cutover plan
- DevSecOps pipelines with security scanning, policy as code, and automated ATO evidence
- Kubernetes and container platform engineering with hardened images and admission control
- Infrastructure as code with Terraform and Ansible so environments are reproducible
- Custom software and API development where COTS does not fit the mission
The layer everything else stands on.
Virtualization is where a lot of agencies are quietly stuck: aging clusters, shifting licensing economics, and a data center strategy written for a different decade. We engineer the hypervisor layer with the same rigor we bring to the cloud.
- VMware engineering: vSphere, vSAN, NSX, and VMware Cloud Foundation design and operations
- Migration planning off end-of-life or costly platforms, with a cost model attached
- VDI and secure remote workspace engineering for classified and unclassified environments
- Private cloud and on-premises build-out with hardened templates and golden images
- Data center consolidation, capacity planning, and disaster recovery architecture
- Hypervisor-layer security: microsegmentation, isolation boundaries, STIG-compliant configuration
Three ways programs bring us on.
Assessment & roadmap
A fixed-scope engagement producing a current-state architecture, a risk picture, and a sequenced plan with cost ranges. Useful when you need something defensible for the budget conversation.
Embedded engineering
Engineers integrated into your program office under a task order, working your backlog and your authorization package alongside government staff, at whatever clearance level the work calls for.
Build and hand over
We stand up the platform, document it, train your team, and hand it over. Transition is written into the plan from day one.
Have a requirement that spans two of these?
That is usually where things break. Send us the statement of work and we will tell you what we see.