Weigh station bypass, toll management and compliance services for truck fleets
PrePass runs weigh station bypass, electronic tolling and compliance services for commercial fleets on a Microsoft-centric stack: .NET and C#, Azure DevOps, SQL Server, and Microsoft Fabric with Databricks and Power BI for analytics. Hiring is accelerating and weighted toward support, product and sales, while job posts point to Dynamics 365 sales platform work and pressure to reduce delinquent toll accounts.
PrePass provides integrated weigh station bypass, electronic toll management and compliance services for commercial trucking fleets across North America. Its GPS-based service and mobile app let fleets bypass weigh stations, manage tolls and track safety performance. It reports more than 100,000 fleets and over 800,000 vehicles using the service. PrePass is operated by the PrePass Safety Alliance, a nonprofit public-private partnership governed by state transportation and enforcement agencies alongside motor carrier representatives. Founded in 1993 and headquartered in Phoenix, AZ, the organization employs 501–1,000 people.
PrePass builds on .NET, C#, Azure and Azure DevOps with SQL Server, and uses Microsoft Fabric, Databricks, Azure Data Factory and Power BI for data. Dynamics 365 and Salesforce support sales, with Python libraries like scikit-learn for analytics.
Yes. Hiring is accelerating in the United States, concentrated in support, product and sales, with additional HR, operations and finance roles, mostly at mid level plus some manager and director positions.
PrePass is headquartered in Phoenix, Arizona, and operates as a nonprofit public-private partnership founded in 1993 with 501–1,000 employees.
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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.