The application recognizes gestures and displays them as text in real time
The application recognizes speech and displays it as text in real time
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
We managed to recognize some gestures with the SLAIT Recurrent Neural Network model and we got amazing results
The AI model was developed by our CTO as part of scientific work in the "Aachen University of applied sciences" in Germany
We are constantly developing our AI model testing different architectures
Meet the team
We work hard every day to make it happen
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.
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.
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.
3 reasons why now is the best moment to invest
We have a unique technology, which allows to get business benefits
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
Developed by a great team
Our team consists of experienced innovators who are ready to lead the company from startup to unicorn