AI-powered medical assistant for healthcare front-desk automation
Decoda Health (YC S23) builds AI-driven medical assistants to automate healthcare administrative workflows. The tech stack—Python + FastAPI + PostgreSQL + React + Next.js, deployed on GCP with Kubernetes—reflects a backend-heavy, API-first architecture optimized for production AI workloads. Active projects span scalable infrastructure, AI workflow refinement, and clinic onboarding, while pain points cluster around manual operations and fragmented tooling across healthcare systems, suggesting the core problem is integrating legacy clinic workflows rather than greenfield SaaS.
Decoda Health automates administrative tasks at healthcare clinics, freeing front-desk staff to focus on patient interaction instead of paperwork. The company targets mid-market and smaller clinics struggling with outdated systems and manual operational overhead. Founded in 2023 and based in San Francisco, Decoda is a 2–10-person team hiring across engineering, design, operations, sales, and support in the US and Canada. Current product work spans backend infrastructure, UI development, production AI integration, and clinic migration—indicating active early-stage product expansion alongside initial customer onboarding.
Python, FastAPI, PostgreSQL, React, Next.js, GCP, Kubernetes, Elasticsearch, and LLM integrations (ChatGPT, Claude) for AI workflows. Full stack spans backend APIs, modern web frontend, and cloud infrastructure.
Core priorities are scalable backend infrastructure, production AI workflows, modern UI, clinic onboarding at scale, and operational tooling (commission tracking, process automation) to reduce administrative overhead.
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