AI-vision fleet safety platform with in-vehicle driver monitoring
Netradyne builds AI-vision technology for commercial fleets, pairing in-vehicle driver monitoring algorithms with a cloud stack on AWS (Kinesis, SQS, Lambda) and PostgreSQL. Engineering dominates hiring, with heavy QA automation tooling (Selenium, Appium, JMeter) pointing to edge AI models shipped to thousands of vehicles. A Head of Sales search and UK & Ireland expansion signal a parallel go-to-market push.
Notable leadership hires: Head of Sales
Netradyne is a privately held company founded in 2015 and headquartered in San Diego, California, with 501–1,000 employees. It sells an AI-vision platform to commercial fleets that analyzes driving activity to support safety coaching, operations visibility and compliance. Its customer base spans North America, Europe and Asia. The company hires across the United States, United Kingdom, India and Mexico, and runs its commercial operations on Salesforce and its finance function on NetSuite.
Netradyne uses AWS (Kinesis, SQS, Lambda), PostgreSQL, Java, Python, C++ and JavaScript, with Docker, Jenkins and GitLab CI/CD, plus Salesforce, NetSuite, Tableau and Power BI.
Projects include a new physical AI product line, driver monitoring and assistance algorithms, deploying AI models into vehicles, scalable training and inference infrastructure, and UK & Ireland sales expansion.
Netradyne hires in the United States, United Kingdom, India and Mexico, with engineering the largest hiring area and a mostly senior-level mix.
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Netradyne'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.