Healthcare data platform converting clinical and claims data into predictive analytics
Arcadia operates a healthcare analytics platform serving providers, payers, and government organizations. The stack reveals a mature data infrastructure: Redshift and Snowflake for warehousing, dbt for transformation, Looker and Tableau for visualization, plus emerging AI-driven layers (Athena, Hudi, QuickSight). Engineering is actively modernizing access control and JWT validation while scaling for enterprise implementations — suggesting a shift from monolithic legacy systems toward microservices-friendly architectures (NestJS, Spring Boot, Kotlin adopted alongside React/TypeScript frontends).
Arcadia builds a data platform that ingests, transforms, and analyzes healthcare data across payers, providers, and government agencies. The platform converts raw clinical, claims, and operational datasets into predictive analytics, risk models, performance benchmarks, and population health insights. Founded in 2002 and based in Boston, the company operates at the intersection of healthcare operations and data science, serving mid-market to enterprise healthcare organizations. Active projects span user management modernization, data validation, and value-based care analytics — reflecting both technical debt remediation and expansion into higher-margin AI-driven analytics use cases.
Arcadia's platform runs on AWS (EC2, RDS, ECS) with Redshift and Snowflake for data warehousing, dbt for transformation, and Looker, Tableau, and QuickSight for visualization. Backend services use NestJS, Spring Boot, and Java; frontend built in React and TypeScript. Auth0 handles identity.
Core projects include modernizing the user management system, implementing JWT validation at scale, building database-backed access control, and developing advanced analytics frameworks for medical economics and value-based care. Enterprise implementations and data validation efforts are active.
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