Smart Data Solutions (SDS), founded in 1999, operates an AI-native platform that automates the operational guts of U.S. healthcare - claims processing, prior authorization, provider data management, enrollment, and medical records. The threat model here isn't nation-state actors; it's the crushing volume and sensitivity of protected health information (PHI) flowing through over 500 million transactions annually across 9,200 payer and 200,000 provider connections. Security work spans the full stack: securing data intake pipelines that ingest everything from EDI feeds to scanned documents via OCR, hardening workflow orchestration layers, and ensuring interoperability doesn't become an attack surface. The platform processes more than $1 billion in transaction billing monthly for 500+ clients including health plans, TPAs, and PPOs.
Engineering operations are distributed across the U.S. (headquartered in Eagan, Minnesota) and development centers in Nepal, India, and China, meaning security teams navigate cross-border data handling, regulatory complexity, and the realities of protecting healthcare data across jurisdictions with differing compliance regimes. The technical domains - AI, OCR, EDI clearinghouse, intelligent medical records - represent a wide surface area where vulnerabilities in data capture, document processing, or electronic interchange could expose sensitive member and provider information at scale.
For security practitioners, the draw is concrete: this is a company where the data is real, the volume is massive, and the regulatory stakes under HIPAA and related frameworks are non-negotiable. The work isn't theoretical - it's securing systems that process the actual operational infrastructure of American healthcare, from claims resolution to prior authorization workflows, where a breach has immediate, measurable consequences for hundreds of organizations and the members they serve.
