Automotive solutions powered by Amazon Web Services (AWS)

Capgemini’s breadth of industry and technical expertise, underpinned by AWS Cloud, is revolutionizing the whole concept of mobility.

Vehicles are evolving fast, and so are the ways we access them. Automotive companies face unprecedented pressure to transform as they deal with megatrends like electric vehicle adoption, software-driven transformation, turbulence in the automotive supply chain, new competitors, and ever-evolving expectations about automotive customer experience.

Capgemini and AWS partner to help automotive and mobility companies master these megatrends, enhance the efficiency of their operations, and put customers at the heart of safe, satisfying, and sustainable mobility experiences.

With a 15-year relationship, AWS and Capgemini blend industry knowledge, cloud expertise, and services to help organizations realize their vision of a 21st-century business. Capgemini is a Premier Tier Partner of AWS, with 11,000 certified AWS consultants and 3,500 certified AWS professionals.

Together, Capgemini and AWS equip automotive and mobility clients with the tools needed for business agility, efficiency, and innovation. Gen AI and agentic AI are key enablers of our approach.

Our Solutions

Fast-track the journey to software-defined vehicles

The move to SDVs presents automotive organizations with major strategic, cultural, and organizational challenges, along with major business opportunities. The fragmented market for technology tools potentially compounds the complexity of the transformation.

To empower our clients to accelerate their SDV journey, Capgemini and AWS offer an SDV Factory that integrates standalone partner tools into an adaptable, repeatable, and efficient solution. Clients also gain access to processes optimized for SDV-related use cases and workflows.

This approach means clients can complement their existing tools and processes with the market’s most innovative technology and techniques, yet avoid adding complexity. As a result, established automakers can develop SDVs at the rapid pace needed to catch up with digital-native competitors.

Reimagine autonomous systems deployment

As automotive companies strive to scale ADAS and AD globally, they encounter technical obstacles like fragmented toolchains, slow pipelines, and uncertified data – all of which hamper simulation, AI safety, and global compliance efforts. And that’s in addition to business challenges such as escalating costs and tightening regulatory demands.

Capgemini and AWS offer services and solutions to scale clients’ ADAS/AD programs up to, and even beyond, SAE level 3 – and to do so safely, efficiently, and certifiably. We facilitate global deployment of autonomous vehicles using a modular AWS-powered platform spanning the AMER, EMEA, and APAC regions. At the core of our offer is a pool of real and synthetic scenarios for use in simulation, model training, and validation.

Our compliance-first service delivery and global data operations reduce risk, accelerate homologation, and unlock autonomy at scale.​ Engineering efficiency improves by as much as 19%. As a result, clients can simulate smarter, validate faster, and certify globally.​

Operate competitive battery gigafactories

Batteries account for about 30% of an electric vehicle’s manufacturing costs, and many new battery systems will soon be brought into production, making this a critical area for the industry. Current challenges include achieving process stability when putting new battery systems into production, and avoiding rework and rejection to meet cost and automotive sustainability goals.

Using AWS cloud data services, and extensively leveraging AL and ML, Capgemini has created error/anomaly detection solutions that optimize gigafactory processes. Applying advanced analysis to diverse multisource data, our solutions monitor the entire value stream and pinpoint root causes of failure. Real-time recommendations help process engineers to prevent or diagnose errors.

As a result, processes improve, disruptions and waste are minimized, and production costs are reduced. People do their jobs better thanks to near-instant insights from AI agents that speak their language. The AWS-Capgemini approach can address any industrial process optimization requirement – not just battery production.