AI-driven medical necessity platform for healthcare payers and providers
Xsolis operates a medical necessity scoring platform (Dragonfly) that uses predictive analytics to align payer and provider decisions in real-time. The stack is SQL + Python + R on AWS (Glue, Lambda, Redshift, RDS), with Kafka for data streaming and Tableau/Power BI for analytics—a mature data-engineering foundation. Internal projects reveal active investment in MLOps, AI governance frameworks, and self-service GenAI tools, while pain points around model lifecycle management and AI risk mitigation suggest Xsolis is scaling its ML infrastructure to match rapid SaaS growth.
Notable leadership hires: Accounting Director
Xsolis builds a SaaS platform for healthcare revenue cycle and utilization management, selling to both payers and providers. The Dragonfly platform scores medical necessity using real-time data and predictive analytics, reducing denial rates and administrative overhead across the healthcare system. Founded in 2013 and headquartered in Franklin, Tennessee, the company operates at 201–500 employees and is privately held. Active hiring spans data, sales, and finance roles, with leadership focus on internal scaling: accounting workflow automation, compliance infrastructure, and internal control improvements to support rapid growth.
Xsolis runs SQL, Python, and R for analytics on AWS infrastructure (Glue, Lambda, Redshift, RDS, DynamoDB). Kafka handles real-time data streaming, with Tableau and Power BI for visualization. Salesforce manages sales operations.
Core projects include MLOps pipeline implementation, AI governance framework development, and self-service GenAI enablement. Operationally, the company is automating accounting workflows, improving internal controls for scale, and enhancing the appeal operations platform.
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