AI-powered revenue cycle management and clinical operations platform for healthcare
Curative AI builds AI-first data infrastructure for healthcare RCM and clinical operations, anchored on Databricks, AWS, and Azure with HL7/FHIR integration. The company is scaling aggressively: hiring across data, engineering, and product (mostly senior and principal roles) while managing healthcare's steepest compliance burden—HIPAA, PHI/PII governance, and multi-source data integration are top pain points. Early traction ($35M+ signed contracts, cash-flow positive in 12 months) suggests they've moved past MVP validation into operational scaling mode.
Notable leadership hires: Chief Operating Officer
Curative AI is an early-stage SaaS platform addressing revenue cycle management and clinical operations in healthcare. The product leverages AI and intelligent automation to optimize billing workflows and support clinical decision-making. Founded with a distributed team (US headquarters in Bellevue, WA, plus offshore engineering), the company has secured strategic customers and achieved cash-flow positivity within 12 months. Current focus is scaling infrastructure and operations to handle rapid growth while maintaining healthcare compliance standards.
Databricks, AWS, Azure, Kubernetes (EKS/AKS), Python, HL7/FHIR protocols, Salesforce Health Cloud, and cloud orchestration tools (Terraform, Helm, Istio). Design tools include Figma and InVision.
Primary projects include AI-powered RCM solution development, clinical decision support AI tools, scalable data pipelines on Azure Databricks, real-time data platforms, PHI/PII compliance governance, and end-to-end AI model deployment lifecycle management.
Curative AI, Inc.'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.