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Bringing AI to the Edge

We are an independent AI research institution — through novel research, free products, and developer tools, we bring powerful intelligence to every device.

We don't sell tokens. We set them free.

We conduct original research in on-device AI, ship free consumer products that run entirely on your devices, and build developer tools that let anyone deploy AI at the edge. No cloud dependency. No data leaves your device.

MLXLayerStream

Layer-Streaming Offloading: Running 9B+ LLMs on 8GB Devices

Per-layer weight streaming from NVMe storage enables models exceeding device memory to run inference on iPad and iPhone.

88% peak memory reduction — 27B model at 1.7 GB peak

Speculative Decoding × MoE

Does Speculative Decoding Help Mixture-of-Experts?

306-run empirical study revealing a novel batch verification amortization mechanism for MoE models.

1.30× MoE speedup with <4% draft acceptance rate

Prism

Cross-Domain Personal Data Integration on Consumer Hardware

Integrating finance, diet, mood, and reading data on-device with zero data leakage.

1.48× insight emergence · 125.5× federation compression

Edge Studio

Preview

AI-powered model analysis and surgical optimization. Compress models with neuron-level precision.

Edge Runtime

Preview

Proprietary inference algorithms for Apple Silicon. ANE-GPU co-scheduling with 11.3× prefill speedup.

Edge Scaffold

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End-to-end pipeline from optimized model to published App Store app. No cloud required.

About

AtomGradient is an independent research institution building the future of on-device AI. We conduct original research in model compression, hardware-aware inference, and personal data integration — then ship those breakthroughs as free products that run entirely on your devices.

We believe intelligence belongs at the edge. Every model we build runs locally. Every product we ship is free. Every byte of your data stays on your device.

Edge AIOn-Device IntelligencePrivacy-FirstNovel ResearchApple Silicon

Build with us

We're looking for researchers and engineers who want to push the boundaries of on-device AI.

View open roles