ABOUT

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.

FEATURE

Easy to Use

Choose from our own optimized models or customize models to your need

Various Applications

Fine-tune pretrained models using your own data

for FPGA

Automatic conversion of the model to FPGA version, with rapid implementation on hardware

Easy-to-follow steps, simple to operate

STEP1

Select the task you want to do using Deep Learning. (Object detection, classification, etc.)

STEP2

Prepare the data set. You can use your own data, or use pre-trained data on JUIZ DoT.

STEP3

Train, and check the inference results on an FPGA device or a computer.

SUPPORT TOOLS

Chat Support

Reliable chat support with our Machine learning engineer

Data annotation tool

Simple and smooth process of data annotation.

USE CASES

Autonomous Driving

Enabling safe and stable response in real time

Space Industry

Deep Learning without network connection

IoT Device

Energy efficient and accelerated deep Learning

Smart Home

Privacy preserving edge computation

Enquiry

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