Heidi builds an AI Care Partner that automates clinical documentation, form filling, and task management for clinicians worldwide. The system has returned over 18 million hours to clinicians in 18 months and currently supports more than 2 million patient visits weekly across 116 countries and 110+ languages. The company has raised nearly $100 million from Point72, Anthropic, and Blackbird, with a stated goal of halving the time required to deliver patient-first care.
The core technical challenge sits at the intersection of multilingual NLP, healthcare informatics, and production reliability at global scale. The system must handle clinical documentation workflows across diverse regulatory environments, languages, and medical specialties while maintaining accuracy and latency requirements that directly impact clinician workflows. The stack spans TypeScript, React, Next.js, and Node.js on the frontend with Python, NestJS, and Express on the backend, using PostgreSQL and MongoDB for persistence and running on GCP and AWS infrastructure.
The team includes clinicians, engineers, and designers, with most employees having healthcare backgrounds or direct experience with clinician burnout. Operational philosophy emphasizes shipping small, fast iteration cycles, and tolerance for failure in pursuit of reducing administrative burden. The Australian-based company operates globally with Docker-based deployments and CI/CD pipelines supporting continuous delivery across production environments.