Fast track for science to business

Boost Your projects and optimize Your processes using machine learning algorithms and software development

What do we actually do

Data Science

The team consists of high-class scientists educated in this area. In combination with extensive industry experience, we are able to translate this knowledge into business value.

Machine Learning

Machine learning implemented through the construction of prediction / classification / etc models, are able to automate many processes and thus optimize cost-related activities.

Vending Systems

Providing clients with vending machines along with systems for remote access, as well as application of artificial inteligence for advanced data collection and analysis.

Augmented/Virtual Reality

AR/VR is an interactive experience with real world. It has great potential for practical application. We have know-how, a lot of equipment and practical experience in this field.

App Development

In addition to creative ideas and scientific analyzes, we can transform those into a finished product. We specialize in .NET, but we are not afraid of any technology or framework.

IoT

Internet of Things is an invaluable and extensive source of data. And the data is an invaluable source of knowledge. We manage that process, turning this knowledge into business value.

Why Choose Us?

We are irreplaceable if we talk about non-trivial research problems. We have:

Huge research achievements visible in publications and completed projects.

We are able to solve research problems in many different fields.

We all are exceptional and highly experienced software developers with a lot of technology coverd.

We have a strong cooperation with the Silesian University of Technology.

We are effective and focused on providing business value

37

Happy clients

54

Publications

111K

Cups of Coffee

9

Projects completed

Get in touch

Email

contact@qsystems.pro

Address

Ul. Maurycego Mochnackiego 34, 41-907 Bytom, Poland

Buissnes Data

NIP: 6263035223
REGON: 384123535
KRS: 0000799179

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