Precision-crafted architectures, model distillation, and seamless deployment — so you get AI that simply works.
We engineered our models to deliver high-performance AI without ever relying on the cloud— so your data is safe.
Our models are tailored for compute-constrained environments, with low memory usage and costs.
We deliver real-time performance by removing cloud dependencies and instantly processing multi-modal inputs.
Liquid Small Language Models outperforms leading SLMs, even those slightly larger.
Head to head evaluation of chat capabilities in English*
Head to head evaluation of chat capabilities in English*
Head to head evaluation of chat capabilities in English*
Our models are memory-optimized and tuned for real-time deployment on constrained hardware.
Liquid AI is engineered for ultra-low Time to First Token (TTFT) and high throughput (tok/sec) across all modalities.
Time to First Token (TTFT)
Time to First Token (TTFT)
We manage the complete model lifecycle, so your team can focus on strategic objectives rather than operational complexity.
We generate synthetic, labeled, or multimodal data at scale, ensuring high-quality data optimized for your use case.
We rapidly develop and rigorously validate custom models, guaranteeing performance aligned with your requirements.
We optimize models precisely for your hardware environment, including CPUs, GPUs, automotive-grade chips, mobile devices, and edge deployments.
We work transparently, enabling your teams to extend or adapt models independently via fine-tuning, Retrieval-Augmented Generation (RAG), or custom integration.
We have successfully delivered specialized LFM solutions to leading global enterprises, demonstrating clear improvements at all levels.
Our pricing model offers predictable costs and demonstrable ROI through reduced inference expenses, accelerated project timelines, and superior model accuracy.
Whether you're optimizing for domain accuracy, response style, or hardware footprint, FT CLI gives your team direct access to the internals of Liquid’s small, fast models — from prompt adapters to fully custom fine-tunes.
Our adaptive inference engines are optimized for performance, memory efficiency, and minimal latency across all environments.
Smartphone
Optimized for low-power, low-latency environments, our models are ideal for voice, vision, and personalization features*.
Laptop
Deploy high-performance models on local CPU or GPU, perfect for enterprise desktops, field devices, or offline workflows. Great for regulated environments where data must stay local, with no reliance on external infrastructure.
Automotive
Liquid runs natively in embedded automotive systems, from infotainment to autonomy. Designed for ultra-low latency and offline reliability, with OTA-friendly model updates and support for common in-vehicle platforms like QNX and embedded Linux.