Virtual chronic care for diabetes, heart health, GLP-1 and MSK
Omada Health delivers app-based chronic condition care through employers, health plans, PBMs and government payers, running on Ruby on Rails, PostgreSQL and AWS with a Databricks lakehouse (Delta Lake, Unity Catalog, MLflow). An unusually deep GenAI layer, with Amazon Bedrock, LiteLLM, MCP, Ollama and OpenAI, alongside Tines and n8n automation, points to AI-driven internal tooling. A Chief Revenue Officer search and Medicare work signal a push to scale commercial growth.
Notable leadership hires: Chief Revenue Officer
Omada Health is a San Francisco-based virtual care company founded in 2011 and now publicly listed. It supports members managing prediabetes, diabetes, hypertension, obesity and musculoskeletal pain through an app paired with human coaches and care teams, plus specialized support for people on GLP-1 medications. Omada sells to employers, health plans, pharmacy benefit managers and government agencies. The company employs 501–1,000 people and hires in the United States.
Omada runs Ruby on Rails, React and Vue on PostgreSQL and MySQL, deployed on AWS with Kubernetes, Docker and Terraform. Data runs on Databricks with Delta Lake, Unity Catalog and MLflow, monitored with Datadog.
Yes. Its stack includes Amazon Bedrock, LiteLLM, MCP, OpenAI and Ollama, and job posts reference inference and tool-calling with Claude on Bedrock plus AI-powered engineering workflow tools.
Current initiatives include expanding access through Medicare, building a scalable commercial engine, new channels and business models, partner integration APIs and API-driven automation to cut manual work.
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Omada Health'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.