MEDvidi operates a telehealth platform focused on reducing clinical administrative burden through AI automation. The tech stack (Node.js, AWS, PostgreSQL, Langchain, Multimodal AI, RAG) reveals an engineering-driven approach to AI integration, while active projects span AI scribing, chart review, autonomous clinic operations, and agentic receptionist workflows. Hiring is heavily skewed toward healthcare operations (44 of 56 roles) rather than engineering, suggesting the company is scaling clinical delivery and revenue cycles faster than core product development—a pattern consistent with their stated pain points around administrative overhead and software costs.
Notable leadership hires: Director of Product
MEDvidi is a telehealth platform providing online mental health services across the United States. Founded in 2019 and based in San Jose, the company operates a 201–500-person workforce structured primarily around healthcare delivery and operations. The platform connects patients with licensed clinicians while automating administrative tasks like appointment scheduling, clinical documentation, and insurance workflows. Recent initiatives center on AI-powered features (clinical scribing, chart review, autonomous receptionist functions) to reduce manual clinical work and lower operational costs. The company is actively migrating away from legacy practice-management software (advancedMD) and scaling telehealth delivery into new markets including Florida and California.
Node.js, AWS, PostgreSQL, Python, Angular, TypeScript for core infrastructure; Langchain, RAG, and Multimodal AI for machine learning; Intercom, Slack, PostHog, Tableau for operations and analytics.
AI clinical scribe, automated chart review, autonomous clinic receptionist, health dashboards, insurance revenue cycle automation in Florida and California, and compliance frameworks for AI in clinical workflows.
MEDvidi'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.