Automotive Cloud Services & DevOps

As an innovator in the cartographic data services and navigation solutions on the global market, our client runs a chain of research and development centers to enrich its product portfolio. Daily, tens of thousands of tests, code integrations, and builds are performed in their AWS continuous integration solutions and continuous delivery (CI/CD) pipeline. Intellias took ownership of a large share of the product portfolio pertaining to our client’s map production and automotive solutions. Our DevOps team also analyzed the CI/CD environment and redesigned the test execution schedule to enable more test runs during the day.

Intellias helped a global location-based and cloud platform provider to strengthen database performance and scalability while reducing the overall total cost of cloud infrastructure ownership by 98.5%. Such an outstanding result of cloud optimization services was achieved by leveraging the AWS cloud capabilities and establishing a continuous improvement process.

We’re building and supporting a comprehensive monitoring system for car diagnostics and real-time notifications to drivers for our client, a Canadian software firm serving automakers with personalized SaaS solutions. We developed an automotive predictive maintenance software with online support system based on Microsoft Azure cloud services that processes requests for appointments and matches drivers with nearby dealer service centers. To process large volume of vehicle data and analyze it smartly, we proposed introducing IoT solutions and machine learning algorithms.

We developed future-proof road network HD maps for autonomous driving experiences for our client, a global leader in navigation and location-based solutions. Our solution enabled vehicles to understand the world through an immensely detailed and dynamic map for autonomous driving. We delivered a reliable algorithm for autonomous driving maps that enables both highly and fully automated driving experiences by providing accurate route planning based on lane-level information, speed data, and real-time information about the situation on the road.

Intellias helped a global leader in location-based services to develop a location data platform powered by real-time HD maps for self-driving cars. We have been involved in conceptualizing, developing, testing, and deploying the platform’s cloud-based architecture. Our contribution to data platform development for autonomous driving brings top technology for assisted and automated driving to the automotive market.