Automotive Big Data Competence

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Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client
Intellias client

Expertise with solid and volatile (dynamic) automotive big data

Our automotive big data expertise leverages in-vehicle and external data for

Autonomous driving:

Full cycle of 3D HD maps creation: from data mining automotive services, including eliciting raw and semi-raw data, processing it using map coverage and attributes derivation, creating and publishing the HD maps themselves. We deliver HD maps as geographically tiled and functionally layered data services suitable for direct-to-car and OEM cloud consumption.

Connected car:

Comprehensive automotive data analytics based on the collected and processed sensor- and in-vehicle data (e.g. energy consumption, speed limits, vehicle positioning, etc). Development of predictive maintenance solutions with advanced driver notifications, as well as connected car data for enhanced safety and effective maintenance.

Fleet management:

Data-rich busines intelligence solutions based on developed interactive fleet telematics dashboards which use real-time mapping, telematics-intensive diagrams, and advanced reporting for drilldown analysis. Fleet data synchronization via cloud platforms like AWS or Google Cloud.

Urban mobility:

Advanced traffic monitoring and seamless automotive data communication (e.g. consumer information, parking availability, geographic data) via digital cockpit for enhanced driver experience. Synchronization of personal data and integration of driver’s mobile apps to support shared and connected mobility.

Technology expertise

Success storiesView all case studies

Development platform for geospatial services and big data

The world’s leader among automotive data companies and the provider of location-based services partnered with Intellias to build an integrated tool for developing geospatial solutions and exchanging big data that will shape the future of autonomous driving.

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High definition maps and cloud data platform for autonomous driving

The global provider of location-based services and world’s leading automotive data company has chosen Intellias as its technology partner to developing a location data platform powered by real-time HD maps to enable self-driving cars in the future.

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Telematics for fleet management to optimize vehicles efficiency

A US-based leading fleets technology innovator with over 2 million in-vehicle software installations partnered with Intellias to develop a comprehensive fleet telematics system that consolidates data from vehicles in the field and provides profound business intelligence.

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Provide next-gen driving experience with Intellias automotive big data competence and expertise

Data analytics automotive services for personalized driver experience

To ensure personalized driver experience with improved vehicle safety and performance, automotive companies and OEMs commonly empower their vehicles with data exchange software and render data analytics automotive services. As an automotive data company, Intellias builds effective solutions based on in-vehicle data on energy consumption, speed limits, and vehicle positioning, using systems like Apache Airflow, Apache NiFi, and CDAP. With big data, automotive companies enable predictive maintenance solutions and accelerate them with advanced driver notifications.


We develop data analytics automotive solutions, including cross-platform apps, proofs of concept, MVPs, and ADAS-embedded software solutions with predictive intelligence. By combining high-level traffic monitoring and seamless communication between automotive data solutions via cloud data platforms, Intellias empowers the development of urban mobility and shapes the future of smart cities.

Enhancing fleet management with automotive big data

It is hard to underestimate the importance of big data in the automotive industry. Automotive data solutions like interactive fleet telematics systems do a lot more than just keep fleet managers abreast of the vehicles’ location. They streamline communication, job dispatch and routing, and transmit detailed information about every vehicle in the fleet. Moreover, big data in the automotive industry in general, and predictive modeling particularly, help fleet managers monitor driving maneuvers, predict risk level, and prompt drivers to alter their behavior when necessary.


With automotive big data analytics tools, Intellias delivers telematics tracking solutions that take businesses to a new level. We use cloud platforms like AWS and Google Cloud to synchronize fleet data and visualize it in an interactive dashboard. By connecting software and hardware solutions in vehicles to collect big data automotive insights, we improve control, performance, and cost-efficiency for vehicle fleets.

Autonomous driving powered by automotive data solutions

Creating 3D HD maps for autonomous driving requires full-cycle automotive big data services, including eliciting raw and semi-raw data from mobile cameras, sensors, and GPS devices. All these steps are required to locate objects on the road, process them through map coverage and attribute derivation, as well as compiling and publishing HD maps themselves. We collect cartographic data from automotive data companies, volatile external online data, aerial images, lidar/radar data, and provide data collecting services with real-time data processing and analytics.


This way, we create HD maps suitable for direct-to-car and OEM cloud consumption as part of our automotive data solutions. These multi-layer maps contain details at several levels like roads, lanes, lane geometry, and are constantly updated with incoming data on new road attributes. Being aware of the importance of big data in the automotive industry, Intellias leverages it to help clients get ready for the driverless future.

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Awards and recognition

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