Major trends like connectivity, electrification, and shared mobility are drastically changing the automotive ecosystem. OEMs and Tier 1 companies are already looking at the ways to adjust their product strategy to trending industry demands, and to adopt new business models. Vehicle data becomes a game changing asset which accelerates digital transformation for all industry players. Intellias offers automotive software development expertise backed by years of experience with automotive technologies and robust software engineering services to help automotive companies get in the fast lane to the future of mobility.
Software development is a core competence of Intellias. Since 2002 we’ve been successfully delivering end-to-end software projects for in-vehicle systems, as well as we’ve been developing complex data platforms for autonomous driving ecosystem overall.
Our quality control and testing methodology fully complies with industry standards and is never compromised. We test every single line of code, whether by setting up a simulated environment, on real hardware, or in the field using real cars. To increase the quality of software and shorten the development lifecycle, we implement cloud-based DevOps, which allows for automated testing and continuous delivery.
Our driver-centric approach to designing and building human machine interface (HMI) systems used by millions of drivers has resulted in what Top Gear calls “remarkably stress-free navigation software.” We conduct meticulous user research to optimize all aspects of the driving experience for every user. Our target is to shorten driver response times, improve human–vehicle interactions, and augment the user experience with mobile features.
Intellias has extensive expertise in building big data processing platforms for automotive companies. We know how to process massive loads of in-vehicle data, sensor data, and real-time traffic data. Our data visualization expertise allows us to create meaningful analytics dashboards for faster decision-making.
At Intellias, we apply our DevOps approach to development to help automotive companies get the most out of high-performing cloud environments. We ensure scalability, continuous improvement, and greater efficiency for automotive software by using Amazon Web Services, Microsoft Azure, Google Cloud Platform, and other cloud services.
Intellias uses machine learning (ML) and artificial intelligence (AI) services to build in-vehicle intelligence, provide smart routing, enable object and pedestrian recognition, and reinforce predictive decision-making. Adopting ML and AI ensures better environmental predictions, resulting in safer connected and autonomous vehicles.
Expert automotive software development services should improve functionality and lessen the complexity of a modern car, which, in fact, is a heterogeneous system of embedded computers. While a vehicle requires a massive data processing capacity, features like automation, connectivity, and electrification form an underlying kernel of automotive software development. Intellias engineers, in this context, see their mission in the following. On the one hand, it’s the delivery of sophisticated automotive software solutions as the outcome of our automotive development services. On the other hand, it’s a critical need to ensure a high level of software performance.
Grasping the intricacy of the automotive software architecture, Intellias automotive software services are built around best practices for developing, testing, and deploying new features. On top of that, all our automotive software development efforts don’t compromise on user satisfaction but increase software performance in cars.
As long as OEMs continue a quest for solutions to keep the pace of automotive software development, the financial injection into this quest skyrockets. Integrating and upgrading numerous features constituting ADAS, back-end, telematics, and connected vehicle cloud platforms push up the cost of automotive software development. For this reason, the active use of AI technology while rendering automotive software development services seems like a feasible solution. Rational implementation of AI and ML techniques in automotive development services can generate savings for both OEMs and Tier 1 companies through the optimization of a development process.
Automotive software development featuring AI and ML is one of the best options to analyze data generated by the vehicles at speed unavailable for humans, but possible for machines. Intellias helps our clients reap the benefits of AI showcasing machines’ capabilities in data processing and handling the complexity of automotive software development services.
Automotive navigation software development at Intellias meets all the standards enforced now to improve driving experience and safety. Modern car navigation systems include complex solutions to connect a driver, vehicle, and environment. As a result of our automotive navigation software development efforts, the Intellias clients take advantage of custom and reliable navigation solutions. Navigation solutions in the range of automotive software development services integrate different types of maps, third-party services, and traffic data from various providers. On top of that, they can incorporate real-time data like weather conditions, fuel prices, traffic cameras data, and others.
Bearing in mind that electric vehicles are now making headway in the automotive world, Intellias automotive navigation software development caters to the needs of EV drivers. Navigation solutions tailored for EV vehicles adjust to all the peculiarities of electric driving, including battery level and consumption indicators, range maps, and show charging stations.
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