Data and AI consulting for federal health and national security
Analytica is a federal contractor delivering data platforms and AI solutions to public-sector health, civilian, and national security agencies. The tech stack is heavily cloud-native (Databricks, Spark, Azure, AWS, GCP) paired with legacy mainframe tools (IBM z/OS, Endevor), reflecting their core challenge: modernizing sprawling federal data infrastructure while maintaining compliance. Active hiring across engineering and data roles signals a shift toward scalable ML and analytics platforms—they're adopting SAS Viya and building NIST AI RMF implementations.
Analytica provides data-driven consulting and technology services to federal government agencies across health, civilian, and national security sectors. Founded in 2009, the company is SBA Certified 8(a) and operates as a small business with 51–200 employees, headquartered in Washington, DC. Their delivery spans systems modernization, analytics platforms, ML/AI pipelines, and IT infrastructure—particularly the migration of legacy mainframe and on-premises systems to cloud environments. Current projects include scalable analytics infrastructure, AI risk management frameworks aligned with NIST standards, and DevSecOps automation tailored to federal compliance requirements.
Primary stack: Python, Databricks, Apache Spark, Tableau, Power BI, Azure, AWS (Glue, Lambda, EMR, Redshift), GCP, and SQL Server. Legacy tools include IBM z/OS, Endevor, and SAS. Recently adopting SAS Viya.
Current projects include war data platforms, NIST AI risk management framework implementations, scalable ML infrastructure, DevSecOps automation, and modernization of legacy federal data pipelines.
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Analytica's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.