Lyric processes real-time claims across 190 million lives for the nation's health plans, operating at the front end of the payment workflow. The stack is heavily cloud-native (AWS, GCP, Azure) with emerging AI work (RAG, Llama, Deepseek, PyTorch) layered onto a legacy .NET/C# foundation—a pattern reflected in their pain-point list (modernizing legacy .NET, data bottlenecks). Engineering and data hires outnumber all other functions combined, and active projects signal a shift toward automated testing, event-driven pipelines, and AI-assisted validation, suggesting a multi-year modernization cycle running parallel to the core claims business.
Notable leadership hires: Medical Director
Lyric is a healthcare technology company that provides payment integrity and claims editing solutions to health plans. Founded in 1989, the company operates at scale across Medicare, Medicaid, and VA health plans, processing claims in real time with integrations touching 190 million lives. The platform combines 35 years of clinical expertise with modern AI—including large language models and retrieval-augmented generation—to reduce inaccurate payments and wasted healthcare spending. The organization is distributed across the United States, India, and the Philippines, with a blend of senior engineers, data specialists, product, and healthcare domain experts.
Lyric's core platform runs on .NET and C# backed by SQL, hosted across AWS, GCP, and Azure. Data pipelines use Kafka, Snowflake, AWS RDS Aurora, and AWS Glue. ML workloads leverage PyTorch, Kubeflow, and models including Llama and Deepseek. Claims processing integrates Amazon Textract and Tesseract for document handling.
Core initiatives include payment integrity platform modernization, event-driven data pipelines, AI-generated claim data validation, and support for Medicare, Medicaid, and VA health plans. Secondary focus areas span automated testing for distributed systems, data migrations for high availability, and AI-assisted coding guidelines development.
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