ANAFLASH improves power efficiency and low latency through a data-centric architecture that minimizes data movement. By processing intelligence closer to where data resides, our technology mimics the efficiency of the nervous system and enables faster, lower-power AI at the edge.
Pre-trained AI models are stored and executed directly on the device, enabling real-time, efficient AI processing without relying on cloud connectivity or external data transfer.
Our team brings deep system-level expertise across memory, processors, AI architecture, and system software. This cross-functional capability enables ANAFLASH to deliver integrated solutions that help customers run AI models efficiently on physical AI devices.
A Two-Step Time-Domain Logic-Compatible Embedded-Flash Computing-in-Memory Macro for On-Device AI
%20(10%20x%205%20cm).png)
ANAFLASH Shares Low-Power AI Computing Vision at DAC and FMS 2026
ANAFLASH showcased our Legato-Logic: Time-Domain Neural Network Processor IP
