Automotive Cloud Services & DevOps

The computing capabilities of a car have reasonable limits. Meanwhile, the flow of data from the in-vehicle ecosystem is greater than ever. Automotive cloud services are required to exchange, aggregate, and process this massive load, and companies are looking for greater efficiency with cloud and DevOps automotive services. To supply our automotive clients with recent digital advancements, Intellias applies its expertise in Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

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Our services

We have experience aggregating and analyzing large amounts of data by applying artificial intelligence algorithms and optimizing development process with automotive DevOps. This allows us to achieve high performance and reduce time to market as much as tenfold. Implementing cloud computing in automotive industry ensures high quality software and significantly shortens the development lifecycle with continuous delivery.

Cloud-based development

Developing a software based on AWS, MS Azure, and Google Cloud Platform

Cloud-based integration

Integrating in-vehicle apps and external mobile apps with cloud automotive services

Continuous integration and deployment

Establishing and implementing CI and CD based on AWS, MS Azure, and Google Cloud Platform technologies

Automated testing

Automating testing and quality control with cloud computing used and adapted for the automotive industry

Success stories

Continuous integration & automated release management

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.

Cloud Optimization Services for Automotive Map Compilation

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.

E2E predictive maintenance software

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.

HD maps and cloud data platform for autonomous driving

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.

Data platform for autonomous driving

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.

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