We provide a platform that can easily implement deep learning with customer data, on FPGA chips. It requires only minimal effort and cost to customers, scaling from prototyping to product deployment.
Choose from our own optimized models or customize models to your need
Fine-tune pretrained models using your own data
Automatic conversion of the model to FPGA version, with rapid implementation on hardware
Select the task you want to do using Deep Learning. (Object detection, classification, etc.)
Prepare the data set. You can use your own data, or use pre-trained data on JUIZ DoT.
Train, and check the inference results on an FPGA device or a computer.
Reliable chat support with our Machine learning engineer
Simple and smooth process of data annotation.
Enabling safe and stable response in real time
Deep Learning without network connection
Energy efficient and accelerated deep Learning
Privacy preserving edge computation