Enterprise data platform and integration services with healthcare focus
RADcube operates a data and integration services business built on AWS, Databricks, and MuleSoft, targeting healthcare and government sectors. The project list reveals a modernization push (Strada legacy system, lakehouse platform buildout) alongside compliance-heavy work (audit methodology, billing validation, data governance). Pain points around cloud cost optimization and coding/billing compliance suggest they're managing complex, regulated data migrations—a profile consistent with healthcare and payer-facing integrations.
RADcube is a software services firm serving enterprise clients in healthcare, government, and commercial payer sectors. The company specializes in data platform modernization, enterprise integration, data de-identification, HIPAA compliance, EDI solutions, RPA, and ML-driven analytics. They operate across AWS, Azure, and GCP, with a core platform stack anchored in Databricks and Delta Lake for analytics, MuleSoft for integration, and Spring Boot / ASP.NET for application development. Active projects span both customer-facing work (payer proposals, solicitation responses) and internal infrastructure (Strada system modernization, lakehouse platform development). The 201–500 headcount sits in Carmel, Indiana, with hiring concentrated in data and HR roles.
RADcube runs AWS (Glue, Lambda, Redshift), Databricks, Delta Lake, Python, MuleSoft Anypoint, Spring Boot, ASP.NET MVC, React/Angular/Vue, Docker, and monitoring tools (PRTG, SolarWinds, Nagios). Infrastructure spans AWS, Azure, and GCP with identity management via Okta and Keycloak.
Active projects include Strada legacy platform modernization, AWS + Databricks lakehouse development, audit methodology refinement, commercial payer proposals, HIPAA compliance work, and a job readiness workshop series. Focus areas indicate healthcare, government, and payer-sector integrations.
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RADcube'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 →
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