GMG ArcData, LLC

Operating models and digital transformation

Federal, state, commercial and not-for-profit organizations bring their digital transformation, data and AI problems to GMG ArcData, LLC, a service-disabled veteran-owned small business. The work starts with the operating model: governance, funding and the roles needed to move strategy into delivery. Process modernization, internal tools, employee experience and customer experience follow, with human-centered research and accessible design for portals and services across channels.

Cloud engineering and application builds

The DevSecOps work covers CI/CD pipelines, automated testing and infrastructure as code, with landing zones, cost governance and observability across AWS, Azure and Google Cloud. Application work includes secure applications and APIs built on modern frameworks and API-first patterns. For new ideas, the firm supports proofs of concept with clear business and technical goals and sound evaluation criteria, so that a prototype can move toward production with less risk.

Data engineering, analytics and dashboards

Pipeline work for clinical, claims, housing and public data includes quality checks and lineage tracking. Dashboards and semantic models tie initiatives to measurable KPIs, and the firm helps clients define north-star metrics and forward-looking indicators. Its business intelligence work blends reports with AI for automated insights, anomaly detection and narrative summaries. Governance, stewardship and privacy by design are built in, aligned to HIPAA and 42 CFR Part 2.

AI systems built on governed data

AI services include machine learning model development with MLOps, monitoring and bias testing, along with fairness, drift and disparate-impact audits of models and content. For language work the firm builds retrieval-augmented generation systems with evaluations, red-teaming and content filters, and tool-using agents that write back to systems while keeping audit trails. It also extracts and classifies information from forms, PDFs, notes and registries, and can deploy large language models on a client's own infrastructure.

Public-sector clients

Clients named in its materials include HHS, CMS, NIST, the FDA, the NCI, the NIH, the Veterans Affairs and State Department, a state housing department and a health benefit exchange. Its engagements for these bodies cover the operating model, cloud and data work described above, with delivery aimed at secure, user-centered and measurable outcomes.