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Stellantis expands into artificial intelligence with acquisition of Cloudmade


The dashboard of the new Citroën C3 2024

If the future of the car lies in the electric motor, manufacturers are also preparing for other revolutions in the interior, where multimedia systems and the data they contain will play a major role. With its "Dare Forward 2030" plan, Stellantis intends to transform itself into a tech company and is developing very strongly in the field of software.

Stellantis therefore announces the acquisition of the artificial intelligence system, machine learning models, intellectual property rights and patents of CloudMade, a developer of intelligent and innovative automotive solutions based on big data.

This asset acquisition will support the medium-term development of the STLA SmartCockpit and strengthen Stellantis' software strategy as defined in the Dare Forward 2030 plan.

The AI ecosystem created by CloudMade, with integrated GUIs, is the market benchmark in software and cloud SDK for automotive data collection and analysis, and has been the key point to transform the user experience in the car and mobility over the last decade.


Yves Bonnefont, Chief Software Officer of Stellantis, said: "The acquisition of CloudMade's pioneering AI capabilities will accelerate our development programme on STLA SmartCockpit and help us achieve the goals set by the Dare Forward 2030 plan. Thanks to this customisable technology, and leveraging the growth of our connected vehicle fleet, we will develop smart mobility solutions faster and more flexibly to satisfy our customers with the bespoke in-vehicle and mobile experience. "


As part of the acquisition, 44 engineers and software developers from CloudMade, which specialises in the development of AI technologies, will join Stellantis.

Jim Brown, Founder and Chief Technical Officer of CloudMade, said: "CloudMade is very excited about this transaction. The team looks forward to deepening its collaboration with Stellantis to bring new capabilities to the automotive cockpit. "


CloudMade's architecture maximises the value of data using three learning approaches: personalised learning, which predicts an individual's behaviour in a given situation; fleet learning, which uses data from sensors to detect and share real-world data; and cohort learning, which combines real-world data with data from groups of people who differ in their characteristics.

CloudMade's software technology will support Stellantis' strategy to develop intelligent mobility products and enhance the customer experience with personalised features that make driving safer, life easier and travel more exciting.


Services and products include :

  • Predictive maintenance and diagnostics to proactively identify and schedule maintenance needs and provide alerts to improve vehicle availability.

  • Personalised in-vehicle experiences that can adapt to individual preferences such as climate control, driving style support and entertainment options.

  • A dedicated Stellantis voice assistant with personalised automotive expertise, able to advise on car features, answer model-specific questions and optimise voice routing.

  • Optimised mobile experience and remote controls such as trip planning, battery charging and other activities based on driver habits.

  • Advanced navigation and mapping that will provide up-to-date maps, real-time traffic information and intelligent routing to improve the overall navigation experience and help customers reach their destinations more efficiently.

  • Targeted fleet management features that will enable business customers to optimise delivery scheduling, reduce travel time and resource consumption, increase the productivity and performance of electric vehicles, and ultimately make it easier to monitor and manage the entire fleet.


Thanks to this acquisition, Stellantis will also be able to develop integrated navigation functionalities for the entire customer journey; strengthen the confidentiality of data, as its use for training models will be managed internally, thus reducing the risks of possible exposure; and offer development kits for the creation of custom models to its software developers.

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