Liquid AI announces collaboration with Capgemini to build next-generation AI solutions for enterprises

Following Capgemini's participation in Liquid AI's successful $37.6m seed round, both companies will collaborate to bring cutting-edge AI systems, powered by Liquid Neural Networks, to help drive enterprises’ AI transformation.

[CES, Las Vegas, 1/12/24] – Liquid AI, a pioneering MIT spin-off dedicated to creating state-of-the-art, domain-specific, and general-purpose AI systems and Capgemini, a leading business and technology transformation company, are joining forces to help enterprises harness the power of AI.

The collaboration between Capgemini and Liquid AI focuses on advancing AI solutions in various domains, including manufacturing, healthcare, finance. It will also open new applications of advanced AI solutions on the Edge.

Liquid AI founded by a team of MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) scientists – Ramin Hasani, Mathias Lechner, Alexander Amini, and Daniela Rus – is at the forefront of AI development. Their approach goes beyond generative pre-trained Transformers (GPTs), focusing on causality, interpretability, and efficiency to build next-generation AI foundation models. These models enable powerful applications while emphasizing environmental responsibility, substantially reducing the carbon footprint of foundational AI models.

As a testament to their commitment to driving AI innovation, Liquid AI has successfully secured $37.6 million in seed capital to support their mission and came out of stealth recently in December 2023. Capgemini participated in this equity round via ISAI Cap Venture (Capgemini’s Corporate VC Fund managed by ISAI).

Ramin Hasani, Co-Founder and CEO of Liquid AI, expressed his enthusiasm: "Our cooperation with Capgemini allows us to combine our cutting-edge AI technology with Capgemini's global reach and expertise, ultimately benefiting organizations across various industries to develop and deploy private, reliable and best-in-class domain-specific & generalist AI systems."

Capgemini's extensive experience in technology consulting and its global presence will be instrumental in helping Liquid AI scale and make their solutions enterprise-ready. Capgemini will play a primary role for Liquid AI in the market, offering clients access to advanced AI systems tailored to their specific needs.

Daniela Rus, Co-Founder of Liquid AI and MIT CSAIL Director stated, "We believe that AI has the potential to revolutionize industries and make a significant positive impact on society. Our vision perfectly aligns with Capgemini’s, enabling us to bring our advanced AI models to a broader audience and accelerate the global AI transformation."
Andrew Vickers, CTO Generative AI at Capgemini Engineering, added, “We’re thrilled to be continuing our relationship with Liquid AI, a relationship born from our Strategic University Research Partnership Program with MIT. Liquid AI brings amazing technology to the market, in tune with the needed trends of simplicity, efficiency and sustainability. We are very excited to be helping our clients find effective ways to apply this technology.”

A first joint project involving MIT CSAIL and Capgemini teams over the last 2 years has consisted in leveraging Liquid Neural Networks (LNNs) to train vehicle control systems with significantly reduced numbers of neurons than the other current models. Liquid neural networks can more easily adapt to new situations even after training, which lowers the risk of processing errors and increases safety. Project completion is expected in 2024.

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