Omnichannel fulfillment platform connecting logistics networks and software
OneRail operates a fulfillment platform that pairs software tooling with a logistics network to manage last-mile delivery at scale. The tech stack is polyglot and infrastructure-heavy—Node.js, TypeScript, React, and .NET on AWS, Azure, and GCP, with message queues (Kafka, RabbitMQ) and mobile apps (React Native) to coordinate deliveries. Pain points cluster around backend scaling, third-party interoperability, and operational efficiency, while hiring is accelerating across engineering and logistics roles, suggesting the company is pushing toward higher throughput and tighter platform integration.
OneRail is an omnichannel fulfillment platform that combines software and logistics services to manage last-mile delivery for e-commerce and retail brands. Founded in 2018 and based in Orlando, Florida, the company operates a network-based matching system and maintains a 24/7 support function. The product surface includes a delivery orchestration platform, a SaaS control plane (OmniPoint), and mobile apps for drivers and operations teams. Revenue comes from fulfillment services and software licensing; operational scale spans 51–200 employees with active hiring in the United States and Poland.
OneRail runs Node.js, TypeScript, and .NET on AWS, Azure, and GCP infrastructure. Frontend is React and React Native; data layer uses MySQL, MongoDB, and Azure Cosmos DB; async coordination runs on Kafka and RabbitMQ.
Active projects include a delivery orchestration platform, OmniPoint SaaS platform, CI/CD pipeline automation, and fintech product development. The company is also focused on procedure optimization for delivery scheduling and service innovation.
OneRail'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.