Low-Power, High-Efficiency On-Device AI SoC for All Edge Devices

Empower your edge devices with the On-Device AI SoCs. Experience a flexible, low-power AI solution tailored for each use cases, spanning from voice-enabled AI to more specific sensor-related edge AI.

Gwanak Analog owns the entire signal chain from sensor to AI inference. Compared to its competing products, Gwanak Analog superior analog + digital cores enhanced with On-Device AI technology is unrivaled.

Gwanak Analog replaces various ICs with one, capturing full system margin. With Gwanak Analog AI Fusion Technology, legacy analog or sensor products can be revitalized and integrated to smaller chiplet.

With proprietary Inference Accelerator(IX) in play, Gwanak Analog On-Device AI can perform in top-class, low-power and high-efficiency manner to do local AI logics without network connectivity.

With the help of On-Chip AI Fusion, the numbers are just there to prove you. One-Chip Architecture suited for even the smallest devices in one integration. (BOM: -50% with Internal ADC + Pre-AMP + Power Control, PCM Size: -80%, Power Consumption: -70%)

From hardware to most intricate AI models, Gwanak Analog can provide full edge AI ecosystem to upscale the Edge AI capability. Gwanak Analog will stand as a full-stack supporting edge AI provider.

Choose from a wide range of specifiable AI models, from voice recognition to image-related tasks. Each model is precision-tuned to run locally, delivering high-performance intelligence with minimal resource overhead.

In the era of AI expansion, it is easier to find things that cannot be AI-enhanced. Gwanak Analog views On-Device AI technology will be the most dominant driving factor in the near future.

From the smallest consumer devices to vehicles & robotics, Gwanak Analog On-Device AI technology can be adopted on top of every technology-driven things. Be prepared in the era of Physical AI.