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Elevate your possible with Augmented Engineering

Engineering. Take it to the next level.

As AI moves from the niche to the mainstream, all engineering activities and products are going to become augmented. People and processes, products and services will move to new levels of intelligence and effectiveness.

Despite the huge volume of hype, AI’s impact will be transformative, much like the internet. However, informed decisions and strategic investments are crucial in determining both how, where and when to apply.

We partner with you to craft a long-term vision while reaping immediate benefits from AI technology. We call our approach Augmented Engineering – defined to manage the specific failure modes of AI inside the demanding context of Engineering.

Augmented Engineering changes the way you’ll approach mainstream engineering. It takes people and processes, products and services to new levels of intelligence and effectiveness.

“In engineering, Gen AI is not enough. But Augmented Engineering, powered by Hybrid AI, gets you the future you want.

Gen AI is not enough

Our Augmented Engineering approach combines immediate action with long-term strategy.

At the heart of Augmented Engineering is Hybrid AI, which merges Gen AI with other AI types and other types of engineering and scientific models. Hybrid-AI delivers AI-driven outcomes with the precision, quality and correctness required in engineering and science.

You still get the value of AI – but you get it on engineering’s demanding terms.

With this approach, organizations can still achieve rapid tactical results with Gen AI – but they can also use Hybrid AI strategically to augment entire processes, and also to create undreamed-of new and smart products and processes – cost-effectively and sustainably.

Short-term tactical results. Long-term strategic success.

With Augmented Engineering, powered by Hybrid AI, engineers can have both – and in a manner specific to their needs.

Click to read Gen AI is not enough

Gen AI ‘capsule collection’

Explore our stories

How Hybrid AI can augment engineering by boosting performance at different stages of the product lifecycle.

Smart document handling with Augmented Document Assistant

This AI-based solution analyzes and extracts information from documents and authors new ones – and its work is fast, comprehensive, and tailor-made

How to turbo-charge research with Augmented Synthetic Biology

The development cycle of synthetic biology yields faster and richer results when it’s enabled by Generative AI

The way forward for ER&D with Augmented Scientific Co-Pilot

When Gen AI-based knowledge generation is applied directly to enterprise data, it can accelerate discovery and design, reduce costs and time-to-market, increase sustainability – and improve product outcomes

Smoothing the path of software development with Augmented Development Studio

Can Gen AI streamline and augment the software development process so it’s fit for specific purposes? Yes, it can. Here’s how

‘How may we help you?’ with Augmented Product Assistant

A Gen AI-enabled assistant is streamlining software product support – and making life easier for support engineers and their customers alike

GenAI Demo Capsule Collection

Discover a curated selection of our most relevant demos, meticulously crafted to showcase the transformative power of AI.

Why Capgemini Engineering?

Leading Intelligent Industries: transforming challenges into solutions

Expertise across the board

With 40+ years in engineering, we deliver innovative projects from chips to planes, structured across 4 industry practices, 12 sub-practices, and 9 global industries. We excel in implementing AI solutions in products and operations.

    Powerful partnerships

    Partnering with top digital players, we ensure our AI solutions are scalable and provide seamless digital continuity throughout the lifecycle.

      Innovation network

      Our unmatched innovation network includes a Strategic R&D University Partnerships Program, a CTOx organization driving our R&I strategy with ‘Future of X’ programs, AI Labs, strategic joint ventures, and more.

        Transformative solutions

        We offer transformative solutions built from our extensive experience, including a comprehensive 360° AI transformation program, client business awareness initiatives, and frameworks for upscaling people and solutions.

          Credentials

          • Revolutionize Drug Discovery: Integrate Molecular Generative Design and Rapid Identification Solutions Seamlessly into Your Drug Design Platform to identify THOUSANDS of drug candidates in less than 5 minutes.
          • Enhance and Standardize FAQ Responses in Clinical Trials with the RETRIEVAL-RETRIEVAL AUGMENTED GENERATION (RRAG) Method – Achieve 70% to 80% Accuracy in FAQ Retrieval and Correctness.
          • Accelerate and Standardize the Creation of Technical Publications with GenAI for Information Retrieval and Document Authoring – Slash Authoring Time from 2 Weeks to Just a Few Hours.
          • Accelerate Python Code Generation by Selecting Optimal Code Generation Models – Achieve 68% to 80% Reduction in Development Time.

          Meet our experts

          Dr Andy Vickers

          Vice President, CTO Generative AI, Capgemini Engineering
          Dr Andy has 30 years of experience in leading-edge international engineering. Building on a solid technical grounding in systems and software engineering in safety-critical environments, he has held a broad range of leadership roles. He is currently CTO Generative AI at Capgemini Engineering. A regular keynote speaker, he holds Masters and Doctoral degrees from the University of York, is a Chartered and European Engineer, and a Fellow of both the British Computer Society and the Institute of Engineering Technology.

          Keith Williams

          Executive Vice President, Chief Technology Officer, Capgemini Engineering
          Keith Williams, with 34 years’ experience in the engineering & technology industry, provides Technical and Engineering leadership for Capgemini Engineering, with accountability for R&I, Strategic Investment and Technical Authority. He’s leading Capgemini’s Louis Vuitton 37th America’s Cup work. His career spans from the Channel Tunnel Project to leadership roles across various engineering projects. Keith is a Chartered Engineer, a Freeman and Liveryman of London, and a Fellow of several organizations.

          Dr Mark Roberts

          CTO Applied Sciences, Deputy Director of Capgemini AI Lab, Capgemini Engineering
          Mark Roberts is a visionary thought leader in emerging technologies and has worked with some of the world’s most forward-thinking R&D companies to help them embrace the opportunities of new technologies. With a PhD in AI followed by nearly two decades on the frontline of technical innovation, Mark has a unique perspective unlocking business value from AI in real-world usage. He also has strong expertise in the transformative power of AI in engineering, science and R&D.

          Rodrigo Maia

          Vice President, Global Head of Research & Innovation, Capgemini Engineering
          Rodrigo Maia brings over 20 years of expertise to his role as Global Head of Research and Innovation at Capgemini Engineering. With a rich background in spearheading R&D and innovation across multiple tech sectors, he is renowned for his strategic acumen in fostering collaboration and driving technological advancements. At the helm of R&I, he has orchestrated key initiatives, such as the development of 5GLabs and the establishment of Vortex-Colab, enhancing Capgemini’s stature in cybersecurity and cyber-physical systems.

          Valérie Perhirin

          Head of Portfolio, Partnership and Industry pre-sales, Capgemini Engineering
          Valérie Perhirin leads Capgemini Engineering’s portfolio, partnerships, and pre-sales for the Industries COE. She previously led data-driven sustainability for Capgemini Group, supporting clients’ sustainable transformations. Valérie guided 2,200 experts in digital transformation at Capgemini Invent and headed AI and Big Data for Capgemini France. Her strong mathematical and technology background has enabled her to explore various aspects of the data and cloud ecosystems.