AI-powered telematics platform for insurance and fleet risk management
Cambridge Mobile Telematics operates a telematics platform built on PyTorch, Ray, and AWS, with native iOS/Swift components feeding behavioral data into machine-learning models. The company is actively scaling its foundation-model work (DriveWell Atlas), expanding into gig-economy risk products, and investing in sensor data ingestion at scale — all while managing internal pain points around data observability and test coverage. The hiring mix skews senior and principal engineers with concurrent data and product hiring, reflecting a company pivoting from smartphone telematics into AI-driven risk scoring and hardware integrations.
Cambridge Mobile Telematics is a telematics service provider that monitors driver behavior and vehicle data to reduce crash risk and enable behavior-based insurance. The platform, DriveWell Fusion, integrates mobile sensing, machine learning, and crash detection to serve insurers, automakers, commercial fleet operators, and public-sector clients. CMT operates with offices across the US, Europe, and Asia, and has documented over 80,000 crash preventions to date. The company is expanding its product scope into gig-economy risk and fraud detection, and investing in next-generation hardware releases and foundation-model development.
PyTorch, Ray, Swift/Objective-C for mobile, AWS (Lambda, SNS, SQS, RDS), PostgreSQL, Django, React, Datadog, Grafana, Jira, Firebase, and Crashlytics.
Cambridge, MA. Additional offices in Budapest, Chennai, Seattle, Tokyo, and Zagreb.
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