Liquid's LEAP 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.
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:
IT and OT data is often noisy, siloed, and inconsistent, hampering insight and interoperability.
Latency and connectivity issues mean that edge environments can't rely on traditional LLM calls.
Industrial environments often lack in-house AI talent, leaving them dependent on integrators to tie models into existing PLCs, SCADA, MES and robotics systems.
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.
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.
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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