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Capgemini RAISE™ – Reliable AI solution engineering

Gen AI value cases operational accelerator for cost, scale, and trust

According to a Capgemini Research Institute report from January 2024, 88% of the global organizations plan to focus on AI including Gen AI within the next 12–18 months.

Now that organizations are moving beyond experimentation, the common issues they are trying to solve to accelerate GenAI adoption are:

  • Efficient cost management for large language models (LLMs) at scale
  • Disconnected development process amongst numerous GenAI applications
  • Ensuring trustworthy solutions

Most Gen AI maturity journeys start at the same point, organizations need trust, cost, and scale controls in a single toolkit. They need an efficient, interoperable, and scalable GenAI development platform and framework to navigate and orchestrate in the fast-evolving environment.

We are excited to bring to our clients a Gen AI development and deployment solution: Capgemini Reliable AI Solution Engineering (Capgemini RAISE™) is next-gen enterprise AI foundation and suite of best-of-breed, modular assets—built to scale AI, accelerate adoption, and drive business value through Gen AI and agentic capabilities, across industries. RAISE supports the industrialization at scale of your custom Gen AI projects with needed guardrails, giving you more reliable and tangible results, at a controlled cost.

Based on hyperscalers’ architecture and data and AI partners’ ecosystem, it can be used in combination with IDEA by Capgemini, our data platform-as-code asset, helping you deliver ready-to-consume data products to accelerate business outcomes based on your data.

Capgemini RAISE™ has been built leveraging Databricks and is already available in Microsoft Azure, AWS and Google Cloud Platform.

It is impacting three critical dimensions of Gen AI – cost, scale, and trust.

It enables unified controls with tangible results and can:

  • Reduce run costs by up to 80% over a single massive-scale LLM
  • Accelerate delivery by up to 60% over multiple applications
  • Identify issues up to 40% faster than manual monitoring

Connect with us to deliver value cases with trusted business outcomes from your Gen AI initiatives. Building on our market leading position in AI and Generative AI, we help CXOs in setting their Gen AI strategy and identifying use cases aligned to their business expectations and requirements, offering a portfolio of tailored Gen AI solutions. Modular, efficient, interoperable, and scalable, Capgemini RAISE™ will help accelerate the development and deployment in the production of your custom Gen AI projects, at scale, in a cost-controlled and trusted manner.

    A Leader and a star performer in Everest Group

    Artificial Intelligence (AI) and Generative AI services PEAK Matrix® Assessment 2024

    A Leader and a star performer in Everest Group

    Data and analytics (D&A) services PEAK Matrix® Assessment 2024

    A Leader in the Forrester Wave™: AI services,Q2 2024

    This recognition underscores our commitment to excellence and innovation in the ever-evolving landscape of artificial intelligence.

      Client story

      Meet our experts

      Sergey Patsko

      Vice President – Data & AI Group Offer Leader
      As a Digital Transformation strategist, Sergey leverages Data & AI to drive impactful change and deliver value. His expertise spans Artificial Intelligence, Industrial IoT, Data Science, Venture Capital, and Generative AI. Currently, as the leader of Data & AI Group offer, he is focused on Agentic AI and evolving the Data & AI Portfolio of services to generate significant business outcomes for Fortune 500 companies.

      Mark Oost

      AI, Analytics, Agents Global Leader
      Prior to joining Capgemini, Mark was the CTO of AI and Analytics at Sogeti Global, where he developed the AI portfolio and strategy. Before that, he worked as a Practice Lead for Data Science and AI at Sogeti Netherlands, where he started the Data Science team, and as a Lead Data Scientist at Teradata and Experian. Throughout his career, Mark has worked with clients from various markets around the world and has used AI, deep learning, and machine learning technologies to solve complex problems.

      Steve Jones

      Expert in Big Data and Analytics
      Steve is the founder of Capgemini’s businesses in Cloud, SaaS, and Big Data, a published author in journals such as the Financial Times and IEEE Software. He is also the original creator of the first unified architecture for Big Fast Managed data, the Business Data Lake. He works with clients on delivering large-scale data solutions and the secure adoption of AI, he is the Capgemini lead for Collaborate Data Ecosystems and Trusted AI.