Deploy tailored, multimodal AI on any device, at industrial scale.

Liquid's local AI platform and hardware-aware models bridge the gap between sophisticated AI and industrial reality. Empower front-line workers and bring customized, human-level reasoning to robots and sensors, using your existing hardware.

The challenge for industry

To advance from pilot to scale, industrial AI needs to connect: to data, to people, and to legacy systems. Generalist, cloud-based LLMs are powerful. But they're the wrong tool for the job.

AI for industrial applications holds vast promise, but breaks down in three predictable ways:

• Data is too fragmented.

IT and OT data is often noisy, siloed, and inconsistent, hampering insight and interoperability.

• Cloud-based AI is impractical.

Latency and connectivity issues mean that edge environments can't rely on traditional LLM calls.

• Integration capabilities are scarce.

Industrial environments often lack in-house AI talent, leaving them dependent on integrators to tie models into existing PLCs, SCADA, MES and robotics systems.

Our solutions

The AI-powered front line

Your IoT sensors, your mobile computers, your AR headsets, all made more useful. Liquid's custom multimodal AI works fully offline on all your devices, giving workers real-time, hands-free assistance with no gaps, lags, or security risks.

Agentic IT/OT orchestration

There's a world of insights and efficiencies locked up in your data, and our tailored agentic LFMs are how you unlock them. Agents break down IT & OT silos and reason across SCADA, PLCs and enterprise systems to deliver real-time analysis, predictive maintenance, and autonomous workflows.

Robotic physical autonomy

Industrial robots with human-level reasoning isn't sci-fi, but it does require on-device intelligence. Our memory-efficient models run directly on edge CPUs, NPUs, and GPUs with sub-millisecond reflexes and 24/7 reliability.

Intelligence on the factory floor is just the beginning.

Liquid's tailored LFMs are the connective tissue that links your data, your robots, your sensors, and your people. So they can start building the future.

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Case studies & news

OCT 23, 2025News

Agentic Robotics at the Edge: Liquid AI, AMD, and Robotec.ai Demonstrate LFM2-VL-3B in Embedded Autonomy](/content/blog/agentic-robotics-at-the-edge-liquid-ai-amd-and-robotec-ai-demonstrate-lfm2-vl-3b-in-embedded-autonomy/index.html)

[08.12Models

**LFM2.5-VL-3B: A Better and Faster Vision-Language Model for the Edge**](/content/blog/lfm2-5-vl-3-b/index.html) [AUG 12, 2026Models
**LFM2.5-VL-3B: A Better and Faster Vision-Language Model for the Edge**](/content/blog/lfm2-5-vl-3-b/index.html)

[08.04Models

**LFM2.5-2.6B: Deploy Agents Everywhere**](/content/blog/lfm2-5-2-6b/index.html) [AUG 4, 2026Models
**LFM2.5-2.6B: Deploy Agents Everywhere**](/content/blog/lfm2-5-2-6b/index.html)

[05.31Publications

**Neural Low-Discrepancy Sequences**](https://arxiv.org/abs/2510.03745) [MAY 31, 2026Publications
**Neural Low-Discrepancy Sequences**](https://arxiv.org/abs/2510.03745)