ANAFLASH provides data-centric processor solutions designed to enable real-time intelligence directly on edge devices. The company offers specialized hardware and IP, including the Reflex-CU and Legato-Logic Time-Domain Neural Network Processor. These offerings enhance power efficiency and reduce latency by executing pre-trained AI models on-device without external data transfer.
Funding
$4.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
BPNNSPAFounders
Product
Problem
Battery-powered edge devices face limitations in performing real-time AI processing due to the energy costs and latency associated with transferring data to external processors. Traditional architectures require significant data movement, hindering the efficiency of on-device AI applications.
Solution
ANAFLASH develops energy-efficient neuromorphic processors designed for real-time, on-device AI processing in smart edge devices. Their data-centric architecture minimizes data movement by mimicking the brain's structure, enhancing computational efficiency. By storing and executing pre-trained AI models directly on the device, ANAFLASH eliminates the need for external data transfer, enabling seamless and efficient computation for battery-powered applications. The company offers a complete hardware/software solution to run AI models directly on edge devices.
Target Audience
The primary target audience includes developers and manufacturers of battery-powered smart edge devices requiring real-time AI processing capabilities.
Features
- Logic-EFLASH™️: Standard logic compatible embedded Flash Memory IP.
- SMU-E™️: Real-time on-device TinyML acceleration solution.
- SMU-N™️: Real-time on-device generative AI acceleration solution.
- Data-centric architecture that reduces data movement.
- On-device AI processing for seamless and efficient computation.