Healthcare cost management, claims pricing and payment integrity with AI
Claritev sells data-driven cost management, PPO network and payment integrity services to the health insurance market. Its stack pairs a legacy .NET/C# and Delphi core with a dense agentic AI toolkit (LangChain, LangGraph, AutoGen, CrewAI, RAG). New AI Director and AI Innovation Lead roles point to a push to automate claims pricing and testing with AI agents. Engineering leads an accelerating hiring wave, with senior and principal talent heavily represented.
Notable leadership hires: AI Director, AI Innovation Lead, Supervisor Team Lead, Technical Engagement Lead
Claritev is a public healthcare technology, data and insights company headquartered in McLean, Virginia, with 1,001–5,000 employees. It focuses on healthcare affordability through cost management, PPO network management, claims processing, payment integrity, payment accuracy and price transparency. Its work turns complex healthcare cost, pricing and payment data into insights for organizations across the healthcare system, including health insurance. The company runs on Azure, AWS, GCP and OCI, with Salesforce, ServiceNow, SAP Ariba and Oracle HCM supporting operations. Hiring is concentrated in the United States across engineering, healthcare, support, legal and operations.
Claritev uses .NET, C#, React, Delphi and Python, plus PyTorch, TensorFlow, LangChain, LangGraph, AutoGen and CrewAI for AI, running across Azure, AWS, GCP and OCI with Splunk, CrowdStrike and ServiceNow.
Claritev is building generative and agentic AI systems, including claims pricing agents, AI-powered testing agents, RAG knowledge retrieval, and evaluation harnesses and benchmarks for next-generation healthcare products.
Claritev is headquartered in McLean, Virginia, United States, and currently hires in the United States across engineering, healthcare, support, legal and operations roles.
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Claritev'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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