Capgemini and Liquid AI

Using the next generation of AI models to unlock new business opportunities

Generative artificial intelligence (GenAI) has grabbed the attention of business leaders, especially with large language models (LLMs) such as GPT, Mistral, Claude and many others. But these technologies are computationally expensive and difficult to explain. Our partnership with Liquid AI gives your business access to an entirely new type of AI model called Liquid Neural Networks (LNNs). These models are more robust, computationally smaller, and less memory-intensive than traditional neural network models including LLMs. LNNs support your well-honed use cases for generative AI effectively, sustainably, and cost-efficiently. 

“The most successful organizations are going to find ways to use their data assets to better exploit the past, optimize the present, and, most interestingly, design the future. Everyone talks about how generative AI will boost productivity, but the real differentiation will come through Hybrid AI approaches that look at both productivity and the design of new content as engineering processes and products become augmented – and that’s where liquid models can play a crucial role.” 

Andy Vickers, CTO of Generative AI at Capgemini Engineering

Introducing Liquid AI

Liquid AI is a spin-off created by a quartet of AI scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) Their next-generation design principles for neural networks, inspired by a biological neural model, are powering the future of AI. LNNs are helping organizations exploit data in dynamic, real-time and edge environments involving temporal data such as speech or video processing. Liquid AI’s pioneering and accurate models allow your business to turn real-time data into a competitive advantage. 

Why this partnership matters

Since the first generative AI tools became publicly available two years ago, business leaders have been fascinated by the opportunity to use emerging technology to do more with less. However, despite the potential benefits, enterprises often struggle to industrialize their application of AI. Traditional LLMs are expensive to run, and their answers are unexplainable. Scaling up AI requires business-critical features, including costly high-performance computing. 

That’s where Liquid AI and Capgemini’s partnership comes in. Capgemini and MIT CSAIL have collaborated on research since 2021, establishing new paradigms for building trust in AI. Capgemini’s Corporate VC fund participated in Liquid AI’s seed round in 2023. The next stage of the Capgemini Liquid AI relationship will allow your business to get a head start with the next generation of AI models and unlock new value opportunities. 

Our partnership with Liquid AI delivers enterprise-ready solutions as part of a trusted ecosystem of AI excellence. You can train liquid networks with your unique data to solve intractable challenges across your business value chain. LNNs are adaptable and have real-time processing capabilities for applications requiring fast responses to changing conditions. Whether for robotics, autonomous vehicles, real-time signal processing, or advanced AI solutions at the Edge, our partnership will help your business harness the power of AI. 

“Technology changes so quickly. Something new appears every week, and if you’re reacting to that speed of change, you’re too late. You need to be working with people who are driving the innovation landscape, not just reacting to it. Our partnership with Liquid AI will help your business use the power of generative AI proactively and will help usher in the era of Augmented Engineering.” 

Andy Vickers, CTO of Generative AI at Capgemini Engineering