ABOUT US

We have extensive experience in engineering education in numerous university-level courses for six years. However, we acknowledge that the development of such frameworks requires significant qualified human resource and industrial network, therefore, we closely cooperate with our partners in the fields of IT, process control and indoor positioning systems.

What We Do

AI-BASED ALARM MANAGEMENT

Risk mitigation by Artificial Intelligence

DATA-DRIVEN PROCESS DEVELOPMENT

Identification of process-models

SMART MONITORING - INTELIGENT SPACE

Analysing real-time position and machine data

ROOT CAUSE ANALYZES BASED ON MACHINE LOGS

Critical event analayses and predictive maintenance

DECISION SUPPORT - REAL-TIME DIGITAL TWIN

Applied Industry 4.0 solutions in production systems

About our company

Our company aims to utilize the hidden knowledge in these datasets. Our regular projects involve a two-folded work: one, we reveal production bottlenecks, control inefficiencies, fault detection and diagnosis problems by the means of data mining and analysis and deliver the developed algorithms, and two, we support our clients to utilize the knowledge in their datasets by providing educational trainings explaining these techniques. In our last project, we developed algorithms and visualization solutions for the analysis and prediction of alarm messages.

About Us

GYULA DÖRGŐ

Gyula graduated with bachelor's (2016) and master's (2017) degree in chemical engineering with a specialization in process engineering from the University of Pannonia. His work interest covers the areas of goal-oriented optimization, event analysis and data science applications in process mining. His current work focuses on the applications of process mining tools in alarm management for the improvement of process safety.

TAMÁS RUPPERT

Tamás graduated with a bachelor's degree in Mechanical Engineering (2015) and Engineering Information Technology (2015) and master's degree in Mechatronical Engineering (2016). His work interests cover the areas of process mining algorithms, Discrete-event simulators and supply chain management. His current work focuses on Industry 4.0 (Discrete Event simulators, Connected Factory, Supply Chain management) and Big Data.