Transforming industries with efficient AI. Everywhere.

A global automaker struggled to integrate real-time voice and vision AI because existing models were too slow for in-vehicle use.

Liquid delivered a tailored, 50% smaller, 10x faster vision-language model optimized for existing car hardware, deployed within just one week.

The automaker achieved real-time voice and vision AI on current head units without costly hardware upgrades or delays.

Effective fraud detection requires highly efficient, accurate, real-time processing. As transaction volumes rapidly scale and fraud schemes become increasingly sophisticated current solutions are unable to deliver the speed and accuracy required.

Our Liquid Foundation Model delivered scalable, accurate fraud prevention, 2X faster than existing solutions.

An estimated $230M in additional fraud detection savings per year due to faster more accurate detection.

A fast, cost-efficient vision-language model was needed for product cataloging, but existing large models were too slow and inaccurate.

Liquid AI fine-tuned compact, specialized models on structured product data and hardware, enabling efficient customization and deployment.

Achieved 65% faster deployment and improved accuracy—without increasing infrastructure costs.

On-device translation was blocked by high RAM usage and slow speeds.

Liquid optimized lightweight, language-specific AI models for seamless, on-device translation.

Real-time translation with lower memory usage, faster speeds, and no additional hardware or battery drain.

Cloud infrastructure made synthetic video generation slow and expensive for in-vehicle AI development.

Liquid’s locally deployed model eliminated cloud dependency and reduced costs.

Costs dropped by 70%, and simulations ran faster at scale.