EQ4ALL's New App - "수어통"
​수어통 will deliver important information like 'emergency messages' or​ 'announcements in public places' in SIGN LANGUAGE immediately.
You can find 수어통 in Google play store and Apple app store soon.

Tech Focus


Machine Vision & Deep Learning

Real-time recognition of all of hand. body and face with various sensors including RGB camera and depth sensor is crucial for machine to read sign language. With patented augmented training data set based on various neural network technologies, we believe the full recognition of sign language  possible in near future.


Natural Language Processing

Unlike verbal languages, sign language has different grammar structure, different vocabulary structure and complexity in meaning composition based on manual and non-manual signals. Various NLP methods shall involved in translation between those two languages with minimum similarity.


Augemented & Mixed Reality

For the removal of the deaf's barriers to working and communication environment, we believes that augmented reality technology will contribute a lot. you can imagine a avatar sign language translator beside your speaking colleagues to translate the colleagues' verbal



We starte company November 2017 with founding members and a inverstor of a global automotive parts manufacturer. We decided to develop solutions with which the deaf can remove barriers on their information access, education, communication and work environment.

In order to deliver solutions above, we focused on technologies of machine vision, deep learning and natural language processing.


The project SUZI is our long-term goal to achieve all barrier removal between the deaf and our society. We also belives that the technology components we acquire on the way to the long-term goal can be key components for other commercial solutions. We are continuing the solution finding efforts to contribute additional values to our potential

customers and human


We have 3 founding members from various careers.

- CEO : Stephen Ko spent 20 over years in startup with leadership role at successful companies including NHN entertainment, 

IWILab, nPluto, StudioEX and Maum golf.

- CTO : Brad Kim had worked at Netmarble as a technical director after tech leadership roles in various gaming companies.

- CSO  : Kevin Lee started career at Samsung SDS followed by leadership roles in marketing and business development at various global IT companies.



Avatar based sign language interpreter with app in the set-top-box or web viedo overlay.

Selective translation service utilizing caption data(or voice data)of broadcasting or video on demand contents


There are various kinds of text or voice based human machine interface in our daily life. Those machines can utilize our avatar based sign language translator to improve accessibility of the devices quickly.


As more and more connected devices including autonomous car are coming to our life with main user interface of voice, the barrier between machine and the deaf is getting thicker and thicker.

We believes that those loT devices should include an interface for the deaf.

The interface will be based on machine vision to recognize sign language of the deaf.


Web is one of the key information source for the deaf but is mostly in text based. Many of deaf people has difficulty in reading and understanding the text as it's verbal language and is not their primary language. Suzi4Web is an avatar based web translator which will be embedded in web sits.


For the perfect machine translation, there should be enough amount of parallel corpus between verbal language and sign language which doesn't exist now. Suzi4Contents will be a platform where user generation contents with sign language can be created or semi-automatic translation can be revised by professional interpreter.



Tel: 02-6302-7141
#728-22 Yeoksam-dong, Gangnam-gu,Seoul,Republic Korea

Copyright © 2020 EQ4ALL Co.,Ltd.. All rights reserved.

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