Metabolic health platform combining AI and clinical care for chronic disease management
Twin Health operates a clinically-validated B2B2C metabolic health platform sold through employers and health plans. The stack reveals dual operating systems: Snowflake + dbt + Hightouch for real-time member data pipelines, and a full sales/marketing apparatus (Salesforce, Stripe, WhatsApp) built around acquisition and retention. Active hiring is split between healthcare clinicians (6 open roles), sales operations (4), and engineering (3), while the project list — sales training, CRM optimization, AI-driven acquisition workflows, billing operations — signals a company hitting scaling friction: sales execution, operational efficiency, and member acquisition economics all showing strain simultaneously.
Twin Health delivers a metabolic health benefit targeting type 2 diabetes, prediabetes, and obesity through a proprietary 'Digital Twin' technology that personalizes recommendations across nutrition, activity, sleep, and stress based on smart device data and lab work. The platform is sold exclusively through employer and health plan partners, not directly to consumers. Clinical outcomes cited in their messaging include medication elimination (73% of members), average 14-pound weight loss in 6 months, and improvements in A1C, cholesterol, and hypertension across their member base. The company operates from Menlo Park with 201–500 employees and is actively expanding U.S. reach while building out healthcare, sales, and engineering capacity.
Twin Health runs Snowflake + dbt + Hightouch for data pipelines, Salesforce for CRM, Stripe for billing, FastAPI and Spring Boot for APIs, and React/Vue/Angular for frontend. AWS infrastructure with Security Hub, GuardDuty, and Macie for security. Adopting Wiz for cloud security.
Current priorities include AI-driven member acquisition workflows, nutrition product platform evolution, sales operations scaling, CRM adoption improvement, and billing operations standardization. Also developing new member acquisition experiences and sales training programs.
Twin 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.