Cambridge Mobile Telematics provides the DriveWell platform, an AI‑driven telematics service that aggregates data from smartphones, vehicle CAN‑bus, dashcams and other IoT sensors to generate real‑time driver‑behavior scores, crash detection and usage‑based insurance analytics. The cloud‑native solution offers APIs and dashboards for insurers, automakers, fleet operators and gig‑economy platforms to assess risk, automate claims and configure pricing models.
Funding
$3.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Insurers, automakers, and mobility providers lack a scalable way to collect, unify, and analyze high‑frequency driver and vehicle sensor data, limiting the accuracy of risk assessment, usage‑based pricing, and rapid post‑crash response.
Solution
Cambridge Mobile Telematics delivers the DriveWell® platform, an AI‑driven telematics service that aggregates raw data from smartphones, proprietary tags, connected vehicles, dashcams, and third‑party IoT devices. The platform fuses these streams with contextual information (e.g., location, weather) to generate a continuous, unified view of driver behavior and vehicle dynamics. Machine‑learning models score risk, detect crashes in real time, and trigger automated roadside assistance. Insights are exposed via cloud APIs and dashboards, enabling insurers to offer usage‑based policies, automakers to monitor fleet safety, and gig platforms to improve driver performance. The solution is deployed across more than 95 active programs in 25 countries, supporting both personal and commercial use cases.
Target Audience
Primary customers are auto insurers (personal and commercial), automotive manufacturers, gig‑economy platforms, fleet operators, and municipal mobility or smart‑city programs that require granular driver‑behavior analytics and automated claims support.
Features
- Multi‑sensor fusion engine that ingests data from smartphones, Bluetooth tags, CAN‑bus connected cars, dashcams, and third‑party devices at up to 10 Hz sampling rates.
- AI‑powered risk scoring and driver‑behavior classification models that update continuously as new data are received.
- Real‑time crash detection with automatic incident reporting and integration to roadside‑assistance dispatch services.
- Usage‑based insurance (UBI) toolkit, including mileage‑based pricing, pay‑per‑mile, and pay‑as‑you‑drive policy configuration.
- Secure, cloud‑native analytics pipeline with RESTful APIs for data export, dashboard integration, and third‑party system connectivity.
- Scalable SaaS architecture supporting millions of concurrent devices and compliance with data‑privacy regulations (e.g., GDPR).
- Customizable reporting suite for insurers, fleet operators, and public‑sector clients, featuring heat‑maps, trend analytics, and driver‑coaching recommendations.