If you're looking for a service that can bring automotive data into mobile apps and services, Mojio is a good option. Mojio's connected car platform is designed to be a flexible, low-latency, secure way to process vehicle data into insights and services. With a Telematics Engine for data processing, Mobility Studio for integration and an Intelligence Toolkit for machine learning-based insights, it can handle a broad range of vehicles and has a variety of use cases, including better vehicle management and lower operating costs.
Another good option is Bytebeam, a full-stack connected vehicle management platform. Bytebeam handles fleet management, charging infrastructure, vehicle health, predictive maintenance and other tasks. It has deep OTA management, real-time data analytics, remote diagnostics and automated OTA updates. With its own telematics hardware and data analytics smarts, Bytebeam is geared for automotive OEMs that want to improve operations.
For a more developer-focused option, Drivly is an AI-infused API platform for automotive commerce. It provides a rich foundation for building automotive commerce apps, automating complex manual processes and getting work done. The platform's data, services and commerce APIs span a range of automotive functions, so developers can quickly build a full automotive business.
Last, Geotab is a mature GPS fleet tracking and management system that uses AI and data intelligence to optimize fleet operations. Geotab's services include fleet productivity tracking, AI-based fleet safety and fleet optimization, and it's a popular option for companies that want to reduce costs, improve safety and improve sustainability. Its open architecture and scalability means it can handle fleets of any size.