Cannabis operating system for dispensary POS, ecommerce, and payments
Dutchie operates a vertically integrated cannabis software platform serving 6,500+ dispensaries across the U.S. and Canada, with $22B+ in annual transaction volume. The stack—Ruby/Rails on backend, React on frontend, PostgreSQL/MongoDB/Snowflake for data, Apollo GraphQL for APIs—reflects a monolithic SaaS architecture built for stability in a regulated vertical. Hiring velocity is accelerating across engineering and sales, with active work on mobile-first expansion (Flutter/Dart adoption), ecommerce feature velocity, and internal tooling automation, signaling pressure to grow faster while managing regulatory complexity and operator retention.
Dutchie is a cannabis software platform providing a unified operating system for legal dispensary retailers. The product spans point-of-sale, ecommerce storefronts, loyalty and marketing, and payment processing—each domain required to navigate state and federal cannabis regulations. Founded in 2017 and headquartered in Boston, the company now powers over 6,500 dispensaries, facilitating $22B+ in annual sales. The current roadmap emphasizes mobile app strength (iOS/Android submissions and release workflows), ecommerce platform enhancements, and customer onboarding at scale. Internal priorities include reducing operational toil through automation and improving the release process to support aggressive growth targets in a rapidly evolving regulatory landscape.
Backend: Ruby, Ruby on Rails, C#, .NET. Frontend: React, TypeScript, Flutter, Dart. Data: PostgreSQL, MongoDB, Snowflake, SQL Server. APIs: Apollo GraphQL. Infrastructure/DevOps: ArgoCD, Pulumi, LaunchDarkly. CRM: Salesforce. Analytics: Gong.
Dutchie powers over 6,500 dispensaries throughout the U.S. and Canada, facilitating over $22 billion in annual sales.
Dutchie'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.