Liquid AI

Founded by Ramin Hasani in 2023

Build efficient AI models for devices, edge, and cloud

Pricing model

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Liquid AI to build efficient foundation models that run directly on devices, at the edge, or in the cloud. These models are designed for low latency, data privacy, and compatibility with various hardware. It allows for rapid customization and deployment of AI for specialized tasks, ensuring intelligence operates where it's needed most without heavy computational demands. The models support diverse applications from phones to cars.

What Liquid AI does

Build device-native foundation modelsFine-tune AI models for specific applicationsDeploy AI models to various edge devicesRun AI models with low latency on local hardwareEnsure AI processing adheres to privacy requirementsIntegrate AI models with different runtimes like llama.cppDevelop AI for text, vision, and audio processingBenchmark on-device AI performanceDevelop AI models that run directly on devicesEnsure data privacy by keeping AI processing localAchieve fast decision-making with low latency modelsDeploy AI across various hardware, from phones to carsCustomize models for specific use cases and performanceSupport multiple modalities like text, vision, and audioOffer small model footprints for efficient local executionProvide tools for fine-tuning and deployment to production