About the Company

35

employees

4

years on the market

€6+ Million

funding raised

NSW

Protecting your machines and your business

We enable you to operate your machines more efficiently and sustainably. Our powerful AI and industrial IoT solutions analyze sound patterns, so potential mechanical failures can be detected early. We chose to specialize in sound processing because the sound analysis is a simple, universal, and reliable method of machine health diagnosis.

Look at our journey

2016

  • founded by Pavel Konečný in Prague
  • accelerated by Startup Yard Prague
  • named “Idea of the Year 2016” in the Czech Republic for solution combining AI and IoT

2017

  • € 600,000 investment by J&T Ventures
  • featured in Forbes Next
  • accelerated by Airbus BizLab in Hamburg

2018

  • classified as “Cool Vendor in Acoustic Technologies for Predictive Maintenance” by Gartner
  • won 3rd place in the CEE startup competition PowerUp! by InnoEnergy
  • Accelerated by SAP Industry 4.0 Program in Berlin

2019

  • € 5.75 million raised from investment funds – Inven Capital (ČEZ Group) and Lead Ventures (MOL Group)
  • joined the ESA BIC Center in Prague
  • awarded as the Best AI Startup in Czechia, the Best IoT Startup in Central Europe in the Central European Startup Awards Competition.

Latest news

Neuron Soundware harnesses AI to monitor automotive robots

A goal of the project is to keep the manufacturing process for recognised European automotive manufacturer running smoothly and preventing problems that often arise with the robots moving pallets arou

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Neuron soundware predictive maintenance protects gearbox production

Our goal in working with this recognised European automotive manufacturer was to keep gearbox production on target and avoid unplanned failures in the helium compressor, a critical production line com

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Prague public transport chooses Neuron soundware for predictive escalator maintenance

DPP, Prague’s public transport company, has begun working with Neuron soundware, a leading Czech tech firm in Industry 4.0, on predictive maintenance for escalators.  The project involves the conti

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NSW