AI-powered primary care platform with telehealth and clinical decision support
Doctronic operates an AI-driven primary care service with over 23 million documented patient interactions. The stack—Python, FastAPI, AWS, PostgreSQL, React, Swift, Kotlin—reflects a full-stack consumer health platform built for scale, while the project list (HIPAA/SOC 2 compliance, secure health record exchange, clinical pathways, real-time data processing) and pain points (backend scaling, care cost reduction, compliance maintenance) reveal a company managing the dual burden of healthcare regulation and high-volume clinical operations. Hiring skews senior and spans engineering, product, and dedicated healthcare roles—typical of post-clinical-validation startups moving from MVP toward enterprise readiness.
Notable leadership hires: Medical Director
Doctronic delivers AI-assisted primary care through a telehealth platform, treating patient visits as the core unit of service. The company has processed over 23 million interactions, building modern medicine into generative AI systems to expand access to care. Operations span clinical (Medical Director, healthcare team), engineering (full-stack development across backend infrastructure, mobile clients, real-time systems), and compliance (HIPAA, SOC 2). The product roadmap centers on embedding AI configuration tools, improving clinical guidelines, and securing interoperability with enterprise health systems. Backed by Union Square Ventures, Tusk Venture Partners, and HF0.
Python, FastAPI, AWS, PostgreSQL, MySQL, Redis, Docker, React, Swift, Kotlin, TypeScript, WebRTC, Figma, and Adobe Creative Cloud for development and design.
New York, NY. The company hires in the United States and Brazil.
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Doctronic'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.