Why R&D is Important to Us
Since several members of our leadership team are currently active researchers with doctoral scientific degrees, the search for innovative solutions is important to us.
Our establishment was motivated by the need to bridge the gap between the competitive IT sector and the scientific community. By facilitating collaborations between higher education institutions and companies through concrete research and development projects, we aim to provide effective support so that the Hungarian IT industry can enter the international market with competitive and novel solutions.
Research and development activities and expertise of our company
Ongoing and market-ready R&D projects
IBB – InfoBank & InfoBroker: Services related to information management for clarifying digital ownership rights and managing data assets (InfoBank), as well as implementing information value-based trading with information assets (InfoBroker).
Next-Generation Financial Services: Development of financial services utilizing machine learning methods.
CTA – “CML Treatment Assistant”: An electronic treatment tracking assistant focused on cancer research and personalized treatment. The goal is to create a mobile-accessible treatment tracking system capable of monitoring long-term treatment periods by treatment methods. Professional partner: Semmelweis University, 1st Department of Pathology and Experimental Cancer Research.
GenomeAtlas: Research on the visualization of the cell type-specific three-dimensional structure of the genome of a given species. Professional partners: UD-GenoMed Medical Genomic Technologies Ltd., University of Debrecen, Institute of Biochemistry and Molecular Biology.
Microbiolance – Microbiome Analysis-Based Service: Development of services supporting microbiome workflows (genomic data management) and clinical data management for correlation analysis between various disease models using machine learning methods. Professional partners: UD-GenoMed Medical Genomic Technologies Ltd., University of Debrecen, Institute of Biochemistry and Molecular Biology, Semmelweis University, Department of Psychiatry and Psychotherapy.
GeneFXplore: Development of a functional genomic and imaging diagnostic framework supporting early oncological diagnosis and therapy selection. The ongoing development aims to analyze the relationships between deformations in functional genomic patterns, disease development, and early diagnosis. Professional partners: GE HealthCare, Széchenyi István University, University of Debrecen.
GRAPLER (GRApe Pruning LEarner Robot): Creation of a precision pruning robot and intelligent agricultural platform based on image processing and machine learning methods. Professional partners: University of Pécs, Institute of Viticulture and Oenology, Bay Zoltán Applied Research Nonprofit Ltd., Robotics Department, SBS Ltd.
JavaFitter: Source code decision structure analyzer. The project’s goal is to develop a static code analyzer capable of measuring the quality of decision structures in source codes and detecting decision structure anomalies with the support of a deep learning-based expert system module. Another goal is to identify design conditions where decision structure optimization can be achieved through design patterns, as well as to support the detection of code structure optimization suggestions. Professional partner: Eszterházy Károly Catholic University.
Development and Design Frameworks: Our company possesses and further develops technology standards-based development and design frameworks and solutions, ensuring the reliable execution of robust IT projects. We are experimenting with flexible generation procedures capable of producing source codes from UML-based design products tailored to the given framework.
Additional R&D and research experience
Internet of Things: Our colleagues participated as experts in the “FutureRFID – Further Development Opportunities of RFID/NFC Technology Along the Internet of Things Concept” project (TÁMOP-4.2.2.C-11/1/KONV-2012-0014).
Design Methodologies: Research on design and programming methodologies forms the basis of our company’s development and design frameworks. The research aims to ensure UML-based traceability throughout the entire project cycle, from business modeling to test design, thereby ensuring consistency between layers.
Analysis of Design Principles and Patterns: Analysis of object-oriented design principles and design patterns’ decision structures, introduction of new design principles.
SAT Problem and SAT Solver Algorithms: Expertise in SAT problem-solving and the practical use of model checking programs.
Mathematical Analysis: Research on functional equations and inequalities, stability theory of functional equations.
Electronic Nutrition and Lifestyle Counseling: Several employees participated as consultants in the “eFilter – System for Managing Information Derived from Health Profile-Filtered Consumer Databases” (KMOP-1.1.1-09/1-2009-0053) R&D project, which aimed to interactively regulate consumer habits according to users’ health status, controlling food sensitivities, allergies, and diets.
Research Leaders
InnovITech Ltd. has active experience and resources in the field of R&D, which can be utilized for research tasks and concept development related to research.
Several members of the management team hold doctoral degrees in Mathematics and Computer Science, are currently active researchers, and have authored numerous scientific publications.

Dr. Márien Szabolcs
CEO

Dr. Kusper Gábor
Research and Development Project Manager

Dr. Kaiser Zoltán
CEO
Dr. Márien Szabolcs:
PhD. in Mathematics and Computer Science, University of Debrecen (2012)
MSc in Software Engineering Mathematics, University of Debrecen (2000)
Research Area: Analysis of object-oriented design principles and design patterns’ decision structures, introduction of new design principles, development of design metrics characterizing the quality of decision structures in object-oriented programs, UML-based design methods.
Project Experience: “eFilter” (health profile-filtered consumer database system), Video Content Management (Telekom), “IFF” – Integrated Factoring and Ledger System (Magnet Bank), Hungarian Operational Risk Database (Bank Association).
Dr. Kusper Gábor:
PhD. in Mathematics and Informatics, RISC-Linz, Johannes Kepler University Linz, Austria (2005)
MSc in Software Engineering Mathematics, University of Debrecen (1999)
Research Area: Artificial Intelligence, Expert Systems, Formal Methods, Future Internet, AutoID Technologies, SAT Problem, Object-Oriented Programming, Programming Technologies.
Dr. Kaiser Zoltán:
PhD. in Mathematics and Computer Science, University of Debrecen (2006)
MSc in Software Engineering Mathematics, University of Debrecen (2000)
Research Profile: Mathematical analysis – research on functional equations and inequalities; stability theory of functional equations.