November 11, 2015

Neuron soundware builds and trains software, which understands audio

Neuron soundware uses artificial intelligence methods to gain understanding of audio signals. The unique pre-processing of the input data via complex physical sensor model allows neural network to learn and identify the important features quickly with high confidence. 


Read about winning the Vodafone Idea of the Year 2016 competition

Winner of Napad roku 2016

About Us

Pavel Konecny photo

Pavel Konecny studied cybernetics and biomedical science. He started working for IT consulting company using the best-class technologies. He completed more than 35 technology and strategy projects for 25 clients in 3 different continents during his 11 years long career at Accenture. For example, He had designed a high-performance algorithm to calculate the best offer using the consumption data from the electricity smart-meters. The algorithm, running in memory MySQL DB, optimally computes up-to 500 billion individual math operations in a few seconds using off the shelf workstation. It is successfully deployed in Australian web site Switch-on operated by Government of Victoria.

He is known as one of the most innovative person in the team. He is bringing new ideas every day. His colleagues were frequently asking, why didn’t you start your own business? The last ten years, he was giving the same answer: “I am waiting for computers to be powerful. So the artificial intelligence development can be done effectively.” So that time is finally here. He believes that in less than 30 years, we would have a choice to make. Either die or move our minds to computers and live for ever.



Pavel Klinger got his first computer, when he was 11 years old. Unfortunately, the only tape with games got damaged. So he had to start programming them by himself. When he was 15 years old, he built his first neural network. He wanted software, which would write down his home works. It didn’t fully work, but he could type them faster. The neural network was predicting which word he was going to type next based on the first two letters.

He has now decided to fulfill his 20 years later dream. The project allows him to combine the best my knowledge – computer science and my art hobbies (music, movies). He can use his an exceptional mathematical and programming talent. His creativity is also expressed via his hobby in music – front man of folk music group.  He believes that we are close to explore the source of human brain creativity. And he wants to be part of it.


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