Intelligent Transportation Systems software for public transit operators
Clever Devices builds ITS (Intelligent Transportation Systems) software for public transit agencies—buses, rail, paratransit, and BRT networks. The stack spans Microsoft (Dynamics 365, Power BI, Azure, SQL Server), cloud infrastructure (AWS, OCI), and containerization (Docker, Kubernetes, Helm), with Python and Java as primary application languages. Pain points cluster around monitoring deficiencies, cloud security compliance, and third-party system integration, while projects emphasize customer success workflows and product launches—suggesting a shift from pure engineering toward operational scaling.
Clever Devices designs software and systems for public transportation operators managing fixed-route bus, rail, BRT, and paratransit networks. Founded in 1987, the company is headquartered in Woodbury, New York, with 201–500 employees. Their core products deliver real-time passenger information, transit analytics, and multimodal coordination for transit agencies worldwide. The engineering organization is actively hiring across senior, mid-level, and intern roles in Canada and Brazil, while support and operations teams indicate a maturing customer-success function.
Microsoft Dynamics 365, Power BI, Azure, SQL Server; AWS and OCI for cloud infrastructure; Docker, Kubernetes, and Helm for containerization; Python, Java, C++, and C# for application development; GitHub Enterprise and Jira for DevOps.
Product launches, customer success strategy, workflow automation, pre-sales enablement, and product implementations. Internal focus areas include system monitoring, cloud security compliance, disaster recovery, and third-party integrations.
Other companies in the same industry, closest in size
Clever Devices'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.