Desert Ant Labs: local, fast models that run on device
Desert Ant Labs has launched a suite of small, specialized AI models designed to run locally on mobile devices. These models aim to provide fast, private, and cost-effective intelligence without relying on cloud APIs.
Why it matters
The shift toward on-device AI addresses privacy concerns and infrastructure costs, potentially changing how mobile applications integrate intelligence.
Today we're launching Desert Ant Labs, a European frontier AI lab building opinionated on-device intelligence. We believe the best path to efficient intelligence starts on-device.
We're building small, specialized models for audio, vision, and text – each model answers in milliseconds, and costs nothing to run, so you can put intelligence in every product interaction, without being limited by token cost or inference speed. Small enough to run on a five-year-old phone, fast enough to use on every frame or keystroke, and better than the API call you're already paying for.
The first 18 models are live today (12 stable and six in beta), accessible via one SDK for Swift, Kotlin, and JavaScript. One model per task, each built to be the fastest way to complete that task on a device:
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