Weigh station bypass platform for commercial fleets across North America
PrePass operates a mission-critical infrastructure layer for commercial trucking: a weigh station bypass system handling over 700,000 vehicles daily. The tech stack reflects a maturing enterprise operation—.NET/C#/SQL Server core with modern cloud migration (Azure, AWS, Kubernetes, Docker)—paired with a testing and quality focus evident in active QA automation and framework scaling projects. Hiring velocity is accelerating primarily in engineering and operations roles, signaling platform modernization and scaling efforts rather than sales-led expansion.
Notable leadership hires: Software Engineering Director
PrePass is a nonprofit public-private partnership that operates North America's largest weigh station bypass platform. The service allows pre-qualified commercial motor carriers to bypass highway inspection facilities at speed using RFID transponders, mobile apps, or both—reducing fuel costs, time delays, and improving road safety compliance. The platform also includes electronic toll payments and real-time safety dashboards (INFORM). PrePass serves fleets, individual carriers, and government transportation agencies across the United States, with service quality directly tied to driver safety credentials and fleet compliance records.
PrePass runs .NET and C# on a SQL Server backend, with Azure and AWS cloud infrastructure, Kubernetes/Docker containerization, React and TypeScript frontends, and Python data tools (scikit-learn, pandas). CI/CD is managed through GitLab, Jenkins, and Azure DevOps.
Active projects include end-to-end test automation strategy, testing framework development, real-time weigh station bypassing optimization, tolling solutions, safety alerts, driver onboarding workflows, and performance evaluations for new infrastructure frameworks.
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PrePass'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.