Custom development
We will create a solution for you that will correspond exactly to your needs.
The future is here!
Artificial intelligence brings endless possibilities to improve productivity and innovation in many fields, and is therefore a key part of the future world as it becomes more and more accessible and its potential use is ever greater.
Document data extraction
Using AI to extract data from documents can significantly improve the efficiency and accuracy of the data processing process, enabling easier and faster access to the information you need. AI can be a key tool for data extraction from documents in many areas such as: finance, law, healthcare or manufacture.
Chatbots and virt. assistants
The use of chatbots allows businesses to provide 24/7 customer support to improve the customer experience while reducing human resource costs. Thanks to the development of AI, chatbots are becoming more and more sophisticated and can be implemented in many areas such as banking, travel or e-commerce.
Anomaly detection
The use of AI to detect anomalies is key to ensuring safety and security in many areas such as: finance, healthcare and industry. This tool enables the processing of large amounts of data and the identification of unusual patterns, leading to faster detection of potential threats and damage prevention.
Fraud detection
Using AI to detect frauds is becoming more and more common and efficient thanks to its ability to analyze large amounts of data and identify unusual patterns. AI enables financial institutions, businesses and other organizations to detect and prevent fraud more easily, resulting in increased security and protection for customers.
Automation of processes
Using AI to automate processes allows businesses to reduce costs and increase efficiency while improving process quality and accuracy. This tool allows you to automate routine tasks, thus enabling employees to engage in more complex tasks that require human interaction and creativity.
Image and video analysis
The use of AI for image and video analysis makes it possible to detect desired objects or situations automatically and in real time. Thanks to this, you can prevent or react more quickly to various events. The use of this tool is possible across different areas, whether it is business, healthcare or security.
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Artificial intelligence (AI) is becoming a natural part of information ecosystems. Let us help you with its implementation in your processes.
15
years of our experts' experience
97%
of important companies
will use AI within 5 years
100%
usability in large companies
Heads of our AI division
Our AI division is headed by experts with many years of experience in the field of AI. They already encountered artificial intelligence during their university studies, then while studying for a doctorate in the field of artificial intelligence, and they continue to apply this experience in practice.
MSc. Jiří Pálka, PhD
MSc. Jan Pálka, PhD
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MSc. Martin Dvořáček MBA
Ing. Jan Hornych
MSc. Gabriel Ečegi
Ing. Jozef Kováč
Are you interested in cooperation?
Let us know and we will get in touch with you as soon as possible.
Detection of inappropriate photo content
GTC – 026 Šternberk, sp
Design and implementation of algorithms for sound recognition of weapon systems and their subsequent categorization. When classifying waves, we used the so-called Fourier transform algorithms, signal convolution for a selected window function, spectrogram calculation, two-dimensional cross-correlation function and a feedforward n-layer neural network.
Digitization of handwritten writing
We have been developing a handwriting recognition system combining OCR (Optical Character Recognition), ICR (Intelligent Character Recognition) and IWR (Intelligent Word Recognition). Thanks to this, it is possible to effective digitization and archiving of historical documents.
This self-learning system using neural networks was designed for the back office of companies that mine data from forms.
Detection of inappropriate photo content
GTC – 026 Šternberk, sp
Design and implementation of algorithms for sound recognition of weapon systems and their subsequent categorization. When classifying waves, we used the so-called Fourier transform algorithms, signal convolution for a selected window function, spectrogram calculation, two-dimensional cross-correlation function and a feedforward n-layer neural network.
Digitization of handwritten writing
We have been developing a handwriting recognition system combining OCR (Optical Character Recognition), ICR (Intelligent Character Recognition) and IWR (Intelligent Word Recognition). Thanks to this, it is possible to effective digitization and archiving of historical documents.
This self-learning system using neural networks was designed for the back office of companies that mine data from forms.
Weapon identification by sound
GTC – 026 Šternberk, sp
Design and implementation of algorithms for sound recognition of weapon systems and their subsequent categorization. When classifying waves, we used the so-called Fourier transform algorithms, signal convolution for a selected window function, spectrogram calculation, two-dimensional cross-correlation function and a feedforward n-layer neural network.
Extraction of personal documents
This application uses OCR to quickly and efficiently process personal documents such as passports and driver's licenses and convert them into a digital format, enabling easy and reliable customer identity verification across a variety of processes and applications.
Thanks to this application, filling in information about the client was realized using a photo of the client's personal document.
During our many years of experience, we have already applied artificial intelligence in many different fields. Below you can find selected artificial intelligence applications that we have implemented.
Application samples
