Metabolic health platform combining AI with clinical care for chronic disease management
Twin Health operates a B2B2C metabolic health platform deployed through employers and health plans, pairing machine-learning personalization with managed clinical services. The tech stack (Spring Boot, Java, Node.js, AWS, Vue/React, Snowflake, dbt) and active projects (ML model development, experiment machine design, AI product lifecycle management) reveal an engineering-heavy focus on personalization and clinical outcomes measurement. Hiring concentration in healthcare (10 roles) and marketing (6) alongside steady infrastructure work suggests scaling toward employer-directed go-to-market while operationalizing clinical delivery.
Twin Health delivers a digital-plus-clinical care model targeting type 2 diabetes, prediabetes, and obesity through an employer or health-plan distribution channel. The core product uses wearable and meal-log data to train personalized metabolic models ('Digital Twin' technology), then combines algorithmic recommendations with synchronous clinical coaching. The company reports clinical validation from major cardiology and endocrinology bodies, with outcome claims tied to medication elimination and A1C reduction. Operations span the US, India, and Estonia across 201–500 employees, with ongoing work on billing infrastructure, onboarding optimization, and compliance readiness.
Spring Boot, Java, Node.js, AWS, Vue/React, MySQL, DynamoDB, Snowflake, dbt, Docker, and Stripe. Recently adopting Wiz for cloud security.
Headquartered in Menlo Park, California. Active hiring across United States, India, and Estonia.
Other companies in the same industry, closest in size