We focus on deploying AI models directly on consumer devices — making AI faster, private, and freely accessible to everyone.
Native Swift implementation of Qwen3 TTS 0.6B for real-time, on-device speech synthesis.
Multi-stage compression pipeline for deploying Gemma 3 4B VLM on consumer hardware.
AtomGradient is an independent research group dedicated to making AI run efficiently on edge devices. We believe powerful AI should be private, accessible, and free from cloud dependency. All our research is open-source.
Our research powers EchoStream AI — a product line bringing on-device AI capabilities to real-world applications.
We're looking for researchers and engineers who want to push the boundaries of on-device AI.
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