Power your enterprise with Liquid.

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.

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.

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.