Federal IT services firm modernizing EHR and healthcare data systems
ASSYST is a 51–200 person federal contractor and healthcare IT specialist. The stack reveals a modernization mandate in motion: ServiceNow, PostgreSQL, Tableau, and AWS/Azure for core platforms; concurrent adoption of Playwright, Cypress, JMeter, and k6 points to a shift toward API-first testing and performance engineering. Active projects span EHR modernization, data integration hubs, and service management maturity, while hiring is weighted heavily toward senior engineers and data specialists—indicating they're scaling technical depth for complex federal compliance and healthcare interoperability work.
Notable leadership hires: Cerner Millennium Lead
ASSYST delivers IT modernization and business process improvement services to mid-market and federal agencies, particularly in healthcare. The company holds CMMI Level 3 certification and structures work around ITIL, Agile (Scrum/SAFe), and ISO standards. Primary service areas include EHR modernization, HealthIT data interoperability (FHIR), cybersecurity, and enterprise system integration (ServiceNow, MuleSoft). Current project focus spans data integration hubs, healthcare system migrations, and federal compliance automation—reflecting a client base navigating regulatory complexity and legacy system constraints. Founded in 1993 and headquartered in Sterling, VA.
ServiceNow, PostgreSQL, Tableau, Power BI, Jira, AWS, Azure, MuleSoft Anypoint, Kubernetes, Docker, Terraform, Java, Python, Node.js, Go, and Nessus for security scanning. Recently adopting Playwright, Cypress, JMeter, and k6 for API testing and performance.
EHR modernization, data integration hub implementation, AI-enabled data engineering, ServiceNow-Jira integration, federal cybersecurity initiatives, proposal lifecycle governance, and service management maturity programs—most serving federal and healthcare sector clients.
ASSYST'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.