We help Army, Navy, and Defense Health programs move legacy code, data, and software delivery onto approved enterprise platforms — with AI doing the heavy lifting and every artifact ready for the assessor.
Four practice areas aimed at the platforms, data programs, and authorization pipelines the Department of Defense is standardizing on.
Generative AI and automated refactoring tools accelerate the migration of legacy DoD systems — COBOL, Ada, and monolithic Java and .NET applications — into cloud-native microservices on cARMY and Navy Flank Speed. Every refactored module ships with regenerated documentation, test coverage, and traceability back to the original code, so the cutover is defensible and program continuity is never at risk.
AI/ML pipelines, Retrieval-Augmented Generation (RAG) knowledge systems, and data fabrics that bring logistics, readiness, supply chain, and financial management data into a single decision picture — built to Advana data standards and CJADC2 interoperability goals, with documented lineage so commanders and auditors trust the same number.
AI-assisted generation of Authority to Operate (ATO) packages, control inheritance mapping, and continuous monitoring evidence on Platform One. Hardened Iron Bank containers and Big Bang-based pipelines paired with automated NIST SP 800-53 control narratives cut the time from first commit to authorization — and keep it current under a continuous ATO model.
The bridge between our federal health IT practice and military medical readiness. Clinical AI, population health analytics, and HIPAA-secure application engineering for Defense Health Agency, Army Medical Command, and Navy Medicine programs — where the same model has to serve both a clinician and a readiness report.
Defense work layers DoD-specific authorization and safeguarding requirements on top of the FISMA baseline covered on our About & Compliance page:
Control implementation, inheritance mapping, and authorization packages built alongside the code.
Automated evidence collection and continuous monitoring that keep an authorization current between releases.
Hardened configurations and workloads scoped to the DoD Cloud Computing Security Requirements Guide.
Safeguarding Controlled Unclassified Information to the NIST SP 800-171 practices behind CMMC Level 2.
Model documentation, risk categorization, and monitoring for every AI component we deliver.
Health data protection and accessibility carried over from our federal health practice.
The same sequence runs whether we are refactoring a COBOL batch system or standing up a RAG pipeline on Advana.
Automated code inventory, dependency mapping, and control inheritance analysis before a single line is rewritten.
Refactoring in bounded increments, each one tested, documented, and deployable on its own.
RMF artifacts generated alongside the code, continuous monitoring from day one, and drift detection once in production.
Supporting a military health program? Our Federal Health IT and Healthcare AI practices cover the HIPAA, HL7 FHIR, and clinical AI side of the work.
Healthcare AI →Send us the program, the target platform, and the authorization status — we'll tell you what a credible modernization path looks like.