Device-native foundation models.

“Liquid AI's models are the best for the scaled production deployment - pareto-optimal, beating much larger rivals. That's why we use them at Shopify.”

“Because of their very small footprint relative to their power, Liquid AI’s models are [...] an ideal candidate to run for yourself. If you are an enterprise, a small company, or a physical AI company, you can run these models on your own servers and still get tremendous power.”

“You’re creating [a new] class of where AI can be deployed and how it can be deployed. And I particularly love it because you’re rethinking how to optimize [and] how AMD as a chip developer can work with you as a practitioner of the state-of-the-art AI to create this whole new class of AI computation.”

“By advancing on-device speech, language understanding and reasoning with Liquid AI, we’re laying the foundation for the next generation of intuitive and multimodal in-car experiences.”

“Liquid AI's models are the best for the scaled production deployment - pareto-optimal, beating much larger rivals. That's why we use them at Shopify.”

“Because of their very small footprint relative to their power, Liquid AI’s models are [...] an ideal candidate to run for yourself. If you are an enterprise, a small company, or a physical AI company, you can run these models on your own servers and still get tremendous power.”

“You’re creating [a new] class of where AI can be deployed and how it can be deployed. And I particularly love it because you’re rethinking how to optimize [and] how AMD as a chip developer can work with you as a practitioner of the state-of-the-art AI to create this whole new class of AI computation.”

“By advancing on-device speech, language understanding and reasoning with Liquid AI, we’re laying the foundation for the next generation of intuitive and multimodal in-car experiences.”

“Liquid AI's models are the best for the scaled production deployment - pareto-optimal, beating much larger rivals. That's why we use them at Shopify.”

“Because of their very small footprint relative to their power, Liquid AI’s models are [...] an ideal candidate to run for yourself. If you are an enterprise, a small company, or a physical AI company, you can run these models on your own servers and still get tremendous power.”

“You’re creating [a new] class of where AI can be deployed and how it can be deployed. And I particularly love it because you’re rethinking how to optimize [and] how AMD as a chip developer can work with you as a practitioner of the state-of-the-art AI to create this whole new class of AI computation.”

“By advancing on-device speech, language understanding and reasoning with Liquid AI, we’re laying the foundation for the next generation of intuitive and multimodal in-car experiences.”