Provider data infrastructure for health plans and digital health
CertifyOS builds API-first provider data infrastructure for healthcare, replacing fragmented, manual processes with a unified system. The tech stack—GCP, Kafka, Spanner, BigQuery, plus data-pipeline tools like Apache Airflow and Looker—shows a data-intensive backend designed for scale and real-time updates. Hiring velocity is accelerating across engineering, data, and ops, while active projects reveal a heavy focus on automation (CLM tools, agent-based testing, SFTP standardization, internal automation platforms) and legal-data migration—indicating a push to reduce manual administrative work and regulatory exposure.
Notable leadership hires: Credentialing Lead
CertifyOS provides provider data infrastructure serving health plans and digital health companies. The core mission centers on consolidating provider identity and credentials into a single API surface, eliminating fragmentation that creates cost, compliance risk, and operational friction. The company is fully remote with over 300 employees and operates from a New York headquarters. Clients include large health plans and digital health innovators; the company is backed by Transformation Capital, General Catalyst, and Upfront Ventures. Engineering and data operations represent the largest hiring focus, aligned with the product's infrastructure-heavy positioning.
CertifyOS runs on GCP infrastructure with Java/Quarkus for backend services, React/TypeScript for frontend, and Kubernetes for orchestration. Data layers include Spanner, BigQuery, Kafka, and Apache Airflow for pipelines. Observability and security use Sentry, DLP, IAM, and CASB.
Active projects span new client implementations, legal-data migration, automation-first CLM tools, agent-based testing automation, internal automation platforms for non-engineers, SFTP standardization, and automated reporting workflows—reflecting a focus on reducing manual work and regulatory risk.
CertifyOS'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.