Patient engagement platform for life sciences companies managing chronic disease support
Courier Health builds software for biopharma companies to manage patient engagement across the therapy journey—diagnosis through treatment adherence. The stack is AWS-native (Lambda, DynamoDB, API Gateway) with modern frontend tooling (React, TypeScript, GraphQL), paired with sales infrastructure (HubSpot, 6sense, Demandbase) and BI (Power BI, Tableau). Active projects around LLM-powered features and implementation scalability, combined with hiring pressure on implementation complexity and application reliability, suggest the company is scaling from single-tenant customization toward productized workflows.
Courier Health operates a SaaS platform for patient engagement in life sciences. The product helps biopharma companies support patients with chronic and rare diseases across the full therapy lifecycle—from initial diagnosis through ongoing treatment. Customers include mid-to-large life sciences companies managing complex patient support programs. The company is based in New York and operates with a 51–200-person team, organized primarily around engineering, sales, product, and support functions. Current focus spans implementation scalability, application performance, and LLM-driven feature development.
AWS services (Lambda, DynamoDB, API Gateway, SES, Cognito, AppSync), Node.js and Python backends, React frontend, GraphQL APIs, PostgreSQL, and BI tools (Power BI, Tableau). Sales stack includes HubSpot, 6sense, and Demandbase.
Core initiatives include LLM-powered product features, scalable implementation processes, application speed and reliability improvements, and a product roadmap feedback loop. The company is also building tracking systems and expanding client deployment capabilities.
Courier 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.