Odiggo is a 10-person healthcare AI startup built on TypeScript, React, Python, and AWS/GCP/Azure, with deep integration into Epic Systems via FHIR and HL7 standards. The tech stack and pain-point list signal a company solving operational friction in clinical environments—misdiagnoses, care delays, administrative overhead, and provider burnout. Active projects around agentic systems, clinical workflow integrations, and an AI agent marketplace suggest the team is building toward AI-driven care automation rather than simple dashboards.
Odiggo builds software that integrates AI agents into existing clinical workflows, primarily via Epic Systems connections. The platform targets administrative and clinical process acceleration—reducing delays, surfacing diagnostic support, and automating routine tasks. Engineering dominates the headcount mix with security and research roles present, reflecting the dual burden of healthcare compliance (HIPAA, device security, third-party risk management) and novel AI system design. The company is based in San Francisco and actively hiring across engineering and sales, though hiring velocity is decelerating.
TypeScript, React, Python, AWS, GCP, Azure, Epic Systems, FHIR, HL7, Node.js, Jira, Jenkins, Bash, Selenium, and Athena. The stack spans frontend, backend, cloud infrastructure, healthcare data standards, and testing tools.
Core projects include agentic systems integration, clinical workflow integrations, an AI agent marketplace, inference stack development, CI/CD pipeline optimization, and security/compliance work (audit of integrations, third-party risk management, device compliance).
odiggo'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.