Health IT consulting and change management for Medicaid systems
Briljent is a health IT consulting firm built around Medicaid data infrastructure and organizational change. The tech stack reveals a data-heavy operation: Teradata, Informatica PowerCenter, Tableau, and PostgreSQL sit alongside test automation (Jira, Rally, HP ALM) and modern development tools (Python, React, Node.js, Azure DevOps). Current projects cluster tightly around Medicaid enterprise data warehouses and claims processing pipelines, while hiring accelerates in healthcare and data roles—a pattern that suggests active delivery of large government contracts and internal scaling to handle data validation and ETL complexity.
Briljent provides training, change management, and consulting services to healthcare organizations modernizing their technology and business processes. Founded in 1998, the firm serves mid-market and government health systems navigating Medicaid system implementations, data warehouse migrations, and organizational transitions. Core delivery areas include instructional design, technical assistance, project management, and change strategy. The company operates from Fort Wayne, Indiana and is self-owned.
Briljent uses Teradata and Informatica PowerCenter for data integration, Tableau and Power BI for analytics, PostgreSQL and Oracle for databases, and Azure DevOps with Python, Node.js, and React for development. Testing relies on Jira, Rally, and HP ALM.
Active projects include Medicaid enterprise data warehouse implementations, Medicaid claims processing pipelines, dashboards and decision-support tools, archival records relocation, and CI/CD pipeline integration for test automation.
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Briljent'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.