Short description
sensors and deep neural network based software
Description
Evoaid is ranked among the most innovative AI companies in Hungary by such an international platform like futurology.life and beststartups.eu and has been accepted into the Newchip Accelerator Program.
At EvoAId we are working along 3 mission statements. We are data driven, multisectoral and last but not least socially responsible. The best framework for our missions to be achieved is the city, more precisely the smart city. Since the city is our living space where loads of information is generated which mostly includes images, texts, and times series data. To process and handle this data we have built a comprehensive IT infrastructure which involves AI based computer vision, language processing and time series analysis and the related software and hardware environment. This is how our portfolio was born which addresses the action fields of smart living, economy and mobility. Therefore we envision ourselves as a catalyst of the smart city on a global scale.
Guarding Beats addresses the smart living action more precisely safety and care of the elderly. It offers affordable way of fall detection with higher accuracy and requires a smartphone only.
The health care adaptation of Guarding Beats is being realized in an international consortium with Hugarian, Austrian and Portugal institutions. https://aph-alarm-project.com/index.php/en/
Tracking Vibe addresses the field of smart mobility and offers edge computing for Real-Time road quality and defect detection and co2 concentration logging and mapping system.
Accounting Swish addresses the smart government and economy field and offers sustainable and automated solutions for document processing and pay roll based on Hungarian regulation.
EvoAId has 8 employees and Hungary’s greatest talents in deep learning engineering and the founder team involves academic price winner associate professor and the Hungarian Nvidia DLI certified instructor and university ambassador. Our USP as a company involves the founder’s team, the possible resource of labour supply resulting from the fact that two of our co-founders are instructors at the Budapest University of Technology and Economics and are educating the next generation of deep learning engineers. In addition, we are the rare example of technological start-ups who were able to develop multiple innovative and revenue generating solutions simultaneously.
Last funding
Uh Ohhhh
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Total funding
$$43214321
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Location
Budapest, Budapest, Hungary, Europe
Founded on
August 26, 2016
Non-profit?
No
Acquired?
No
Employees count
1-10
Revenue range
$1230 - 4560
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Investors
Noaccess, Cannot Access
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Founders
Bálint Gyires-Tóth, Csaba Danyi, Gergo Attila Nagy, Géza Németh