We design and manage data ecosystems using Postgres, MongoDB, Hadoop, Apache Spark, and more—we’re not limited to any one stack. Our expertise includes pipelines, large-scale processing, migration, and analytics on secure, enterprise-scale infrastructure—helping agencies turn big data into real-time insights.

We build new systems and modernize legacy platforms across front-end, back-end, and application development. We’re language-agnostic—choosing the right tool for the mission—with deep expertise in C/C++, Java, C#, Python, and full-stack web, delivered into secure enterprise and on-premises environments.

We develop AI and machine learning solutions, including retrieval-augmented generation (RAG). Our systems support automation, analytics, and smarter decision-making across mission workflows.

We help federal agencies build AI governance programs that meet OMB M-24-10 accountability requirements—covering framework development, pre-deployment risk assessment, vendor AI evaluation, and human-in-the-loop policy design, built by practitioners who have led enterprise AI governance programs in complex, regulated environments.

Security-first engineering and risk advisory led in-house by our Chief Information Officer. We implement and assess NIST RMF and 800-53 controls, design Zero Trust architecture and IAM, build detection and incident response, and embed DevSecOps into delivery—through ATO, CMMC, and HIPAA, plus GRC and quantitative cyber risk (FAIR).