Automotive

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.

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Autonomous Driving & ADAS

Leverage experience in digital mapping, ADAS engineering, ML and AI algorithms to develop highly automated and adaptive driving systems.

Autonomous
Driving & ADAS AI & ML
Digital Cockpit

Develop driver-centric HMI and NDS-based navigation systems with real-time and centimeter-accurate mapping solutions for connected and autonomous vehicles.

Navigation EV Navigation HMI
Connectivity & Telematics

Accelerate vehicle connectivity with IoT, sensor data processing, robust cloud infrastructure to ensure connected car experience.

Connected Car Embedded Solutions
Automotive Backend Systems

Enhance your software performance with cloud-based DevOps while efficiently aggregate and analyze mass of vehicle data.

Cloud & DevOps Data
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Automotive software development services

For years, we’ve been delivering production-grade software used by OEMs and Tier 1 suppliers around the globe. Automotive brands trust us to build safe, adaptive, and AI-based software for connected car and autonomous driving. To do so, we rely on our deep expertise in automotive software development, platform development, systems integration, cloud services, and backend systems.

Automotive Software Development

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.

Automotive Software Testing

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.

UI/UX Design

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 mobile features.

Big Data and Data Processing

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.

DevOps and Cloud-based Development

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.

Machine Learning and Artificial Intelligence

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.