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• Sign language to text
• Speech to text
• Video communication

Real-time sign language translator with AI

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The challenge is huge

How to improve communication
between deaf and hearing people?

466 000 000

Number of people with hearing loss in the world

48 000 000

Number of deaf or hard of hearing in the US

2 000 000

American Sign Language speakers in the US

People are waiting for it

We constantly receive feedback from social media

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Meet SLAIT School

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We have a vision

Play the video to learn more about the solution

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How does it work

Complex technology in simple words

S L A I T

Transcribes from ASL to text in real-time

Transcribes from speech to text

Provides video communication

ASL Signer

Deaf person signing during the video call

Signer can read transcribed speech of the interlocutor

Speaker

Hearing person speaking during the video call

Speaker can read transcribed signs of the interlocutor

Use cases

How we can help you

Daily communication

Communicate easily with your loved ones using sign language and live transcription

Career development

Create more opportunities by having a deaf–friendly job environment

Health care

Engage in a direct communication with your doctor

Education

Make online classes accessible and improve graduation rate

Solution for business

Attract and retain customers
or reduce costs with our technology

For video communication companies

Thanks to SLAIT automatic Sign Language transcription technology, you can make your service accessible to millions of users.

After integration, your service will be available for customers with disabilities.

Request a Demo

For VRI and VRS services

Thanks to SLAIT automatic Sign Language transcription technology, you can reduce staff costs.

After integration, you won't need a specially trained ASL interpreter.

Request a Demo

Key features

Sign Language Translation
The application recognizes gestures and displays them as text in real time
Speech Recognition
The application recognizes speech and displays it as text in real time
Video Communication
The application provides live video connection 24/7

Available for Web, Android & iOS

Use the service on a platform convenient for you

Artificial intelligence inside

The core of SLAIT is the trained neural network model

High accuracy

We managed to recognize some gestures with the SLAIT Recurrent Neural Network model and we got amazing results

Science–driven

The AI model was developed by our CTO as part of scientific work in the "Aachen University of applied sciences" in Germany

Continuous improvement

We are constantly developing our AI model testing different architectures

Meet the team

We work hard every day to make it happen

Evgeny Fomin
CEO
Evgeny is Red Dot awarded digital Product Designer. Winner (2nd place) of the Facebook Developers Circles contest in 2019 in Barcelona with an application for deaf and hard of hearing. He has more than 10 years of experience in design, marketing and digital product development.
Nikita Nikitin
Chief Technology Officer
Nikita is an experienced engineer with a strong scientific background in AI.
GBT Technologies Inc., Santa Monica (CA, USA); Medium group – Machine Learning Engineer; RSUH, Moscow – Professor of Computer Sciences President's award for IT postgraduates. Moscow, 2013.
Brenden Gilbert
Adviser
Deaf community leader. Meta, Lead Global Product Hardware Engineer, Data Centers; Meta, Accessibility, and Inclusion Leader; IBM, Advanced Customer Lead Engineer; Accessibility Champion at Meta - Exceptional Advocacy and Leadership.

Investment opportunity

3 reasons why now is the best moment to invest

1

Revolutionary technology
We have a unique technology, which allows to get business benefits
2

Now is the right moment
The video communications market is growing extremely rapidly, which creates the most favorable conditions for the implementation of our technology
3

Developed by a great team
Our team consists of experienced innovators who are ready to lead the company from startup to unicorn