Lassie automates the back office of independent medical practices, handling claims, payment reconciliation, denials and appeals. Its Python/Django and Pydantic AI backend with a React/TypeScript front end on GCP and Vercel points to a lean, agent-centric engineering setup. Hiring tilts toward sales, growth and finance rather than engineering, which suggests the company is building go-to-market and finance functions from scratch as it scales revenue.
Notable leadership hires: Growth Lead
Lassie is a San Francisco-based, privately held company with 11–50 employees. It sells AI software to independent doctors' offices that automates administrative work such as reading insurance claims, reconciling payments and managing denials and appeals. The company reports serving more than 700 practices across 49 states. Its product is built on Python, Django, PostgreSQL and Redis, with a TypeScript and React interface, and hiring is focused in the United States.
Lassie uses Python, Django, Pydantic AI, PostgreSQL, Redis and SQLite on the backend, TypeScript, React and Tailwind CSS on the front end, hosted on GCP and Vercel, with Linear, Slack and Notion for collaboration.
Lassie automates practice administration for independent doctors, including insurance claim processing, payment reconciliation, and handling denials and appeals, and reports serving over 700 practices across 49 states.
Yes. Open roles span sales, operations, product, finance, HR, marketing and security in the United States, including a Growth Lead, with finance and recruiting functions being built from scratch.
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Lassie'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.
