On-device AI solutions,purpose-built for your domain.
Liquid builds capable, trustworthy agents that understand your intent and take action locally — without runaway cloud costs or sending personal context to someone else's server.
Cloud agents rely on expensive frontier models. As agents take on longer tasks and act more often, latency and token costs compound. Running intelligence on-device makes proactive, always-available agents practical — but only when the model, harness, and hardware are designed together.
On-device agents face three core challenges:
Most agents are built for cloud-scale compute and memory. On-device agents must reason and act within tight constraints on memory, power, and latency.
An agent is only as effective as the model and harness working together. When they're designed independently, the result is more errors, wasted computation, and less reliable action.
Every cloud handoff adds cost and latency — and sends more personal context off the device. The best edge agents keep intelligence local without sacrificing capability.
Every LFM is customized to take full advantage of your device's capabilities and execute agentic tasks with maximum efficiency. When the harness and model understand each other, they can route work more effectively, scope up or down when necessary, and get the most out of their context budget.
A co-designed agent is a well-informed agent, using on-device inference loops to constantly gather context: what's on the smartphone screen, what the car's in-cabin sensors are seeing, and what the task chain needs next.
Instead of waiting for prompts and executing commands, a co-designed edge agent actively seeks ways to make itself useful. Background loops that are effectively free let agents build an understanding of user needs and perform tasks autonomously.
An edge agent that knows what you need, before you even have to ask.
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