Enterprise data platform for payer-provider collaboration and clinical decision support
NantHealth operates a healthcare data platform spanning payer-provider coordination, oncology decision support, and care management—built on Java, Kafka, SQL Server, and cloud infrastructure (AWS/Azure). The stack reflects a mature integration business: heavy reliance on Salesforce, NetSuite, and ServiceNow-adjacent tools for workflow, plus messaging and ETL foundations for handling sensitive clinical data at scale. Hiring acceleration across engineering and product suggests active modernization efforts, while the project list (migrations, integrations, legacy upgrades) and pain points (technical debt, operational inefficiencies) indicate a company managing both incumbent customer bases and new platform initiatives simultaneously.
Notable leadership hires: Medical Director
NantHealth builds enterprise software for healthcare operations, focusing on real-time coverage decisions for payers and clinical workflows for providers. Founded in 2007 and headquartered in Winterville, NC, the company serves mid-to-large healthcare organizations across payer systems, oncology networks, and care coordination. The product portfolio includes payer-provider collaboration platforms, oncology-specific tools (GPS Cancer, precision hypertension management), and data analytics services. With 201–500 employees and a leadership structure that includes a Medical Director, the company bridges technical delivery with clinical domain expertise. Current work spans application migrations, integrations with legacy systems, and network monitoring solutions.
NantHealth runs on Java, Kafka, SQL Server, Azure/AWS, Salesforce, NetSuite, Power BI, and Jira. They use ActiveMQ, NoSQL databases, and Azure Pipelines for CI/CD, plus monitoring tools like OpenNMS.
Winterville, North Carolina. The company was founded in 2007 and is a public company with 201–500 employees, hiring exclusively in the United States.
NantHealth'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.