References

Partnerships are essential to E-Group's success.

We appreciate our cooperation with all of our loyal clients as well as our academic, technology and innovation partners.

References

Selected
clients.

References

Selected
partners.

By partner type

AcademicTechnologyInnovation

  • Budapest University of Technology and Economics

  • Eötvös Loránd University

  • University of Szeged

  • Semmelweis University

  • University of Veterinary Medicine Budapest

  • Stockholm University

  • Technische Universität Berlin

  • Tsinghua University

  • University of Pécs

  • Microsoft

  • IBM

  • Atos

  • F-Secure

  • SIA

  • Bittium

  • Invitech

  • InnoValor

  • Starbucks

  • MOL

  • European Space Agency

  • Mesterséges Intelligencia Koalíció

  • Innovációs és Technológiai Minisztérium

  • KTH Royal Institute of Technology

  • EIT Health

  • EIT Digital

References

R&D&I
Activities.

  • EIT Digital

  • Co-funded by the European Union

This activity has received funding from the European Institute of Innovation and Technology (EIT). This body of the European Union receives support from the European Union's Horizon 2020 research and innovation programme.

  • EIT Digital

    Other Common Cross-KIC Outreach beyond Europe

    Project code: 19341

  • EIT Digital

    CHRES – Currency Hedging and Risk Management Service

    Project code: 20428

  • EIT Digital

    CY-PACK (CYber Physical Access Control Keeper)

    Project code: 20156

  • EIT Health

  • Supported by the EIT, a body of the EU

This activity has received funding from the European Institute of Innovation and Technology (EIT). This body of the European Union receives support from the European Union's Horizon 2020 research and innovation programme.

  • EIT Health

    Leveraging e-health workforce by advanced skills

    Project Code: 20604

  • EIT Health

    Leveraging e-health workforce by advanced skills

    Project Code: 19666

  • EIT Health

    Health Venture Lab

    Project Code: 18444

  • EIT Health

    RIS – Engage local players

    Project Code: 18475

  • EIT Health

    Foster Social Funds for Health Impact

    Project Code: 18595

R&D&I Activities

Funded
projects.

Széchenyi 2020 — European Regional Development Fund

Beneficiaries: E-Group ICT Software Zrt.

Development of a self-learning dialogue manager

The self-learning hybrid dialogue manager is an IT system for customer service implemented in collaboration with human and artificial assistants, able to perform certain customer communication tasks automatically, identify types of tasks and direct the customer (for example, through a call center or chat messages) to a human operator. Project ID VEKOP-2.1.1-15-2016-00195

Project ID

VEKOP-2.1.1-15-2016-00195

Funding in HUF

238 160 500

Funding in %

64,08 %

Planned project end date

20-11-2021

Széchenyi 2020 — European Regional Development Fund

Beneficiaries: E-Group Services Szolgáltató és Pénzügyi Tanácsadó Kft.

Prototyping, product, technology, and service development — Development of a prototype of IDXaaS

The purpose of developing the IDXaaS prototype is to prepare the E-Group IDX product family for operation in the SaaS model and for context-based authentication. With the IDXaaS service, it is possible for E-Group to reach additional market players, the developed technology is suitable for providing user authentication and data management solutions for administrative, banking, and corporate players. IDXaaS can be connected to other (existing) similar systems through its modular and standard communication interfaces. Project ID VEKOP-2.1.7-15-2016-00606

Project ID

VEKOP-2.1.7-15-2016-00606

Funding in HUF

67 626 000

Funding in %

64.08 %

Planned project end date

29-11-2020

Széchenyi 2020 — European Regional Development Fund

Beneficiaries: E-Group ICT Software Plc. · University of Pécs

Networked analytical and data utilization capabilities in healthcare

The aim of the project is to implement a DataLake data warehouse, which develops specific cognitive modeling and data processing methods for evaluating data. The warehouse includes a variety of technologies, databases, data warehouse targets, Big Data clusters and real-time processing tools. Other key focus areas of the project include the development of a uniform standard and accreditation system of information systems supporting health care and administration and the clarification of the framework of data collection, data representation, data storage, data recovery, data management and data security. Project ID number GINOP 2.2.1-15-2017-00067

Project ID number

GINOP 2.2.1-15-2017-00067

Total amount of contracted funding for the consortium

HUF 1,789,625,865

Funding rate in %

85.3126 %

Planned completion date of the project

31-12-2022

Beneficiaries: E-Group ICT Software Zrt.

Software and data-intensive services

One of the main drivers of modern intellectual capital-based economic systems is the expansion of the knowledge-intensive service sector, which is based on the integration of the three main missions of higher education: education, research, and knowledge utilization mechanisms. The organizational implementation of this project is the Software and Data-Intensive Services Competence Center, which will be established under the leadership of the Eötvös Loránd University, Faculty of Informatics, in a consortium, with three focus areas: Finance, Healthcare, Industry 4.0, developing IT solutions that increase both competitiveness and research infrastructure.

Project ID

2019-1.3.1-KK-2019-00011

Funding in HUF

180 687 485

Funding rate in %

80 %

Planned completion date of the project

31.01.2024.

Details Project financed from the NRDI Fund — National Research, Development and Innovation Office, Hungary

Beneficiaries: E-Group ICT Software Zrt.

Development Of Anti-Bacterial Resistance Product In Veterinary Medicine, Development Of A Supporting Response Platform

The aim of the project is to create an innovative and intelligent “Animal Health Repositioning Platform” that can effectively identify multiple drug candidates to combat veterinary antibiotic resistance. In addition, the platform could serve as a base for the establishment of a future food chain safety data lake to be developed which would be valuable for the integration and complex analysis of animal health, veterinary public health, food safety and human health data of different sources.

Project ID

2020-1.1.2-PIACI-KFI-2021-00246

Funding in HUF

400 150 000

Funding rate in %

72,91

Planned completion date of the project

30.09.2024.

Details Press release Project financed from the NRDI Fund — National Research, Development and Innovation Office, Hungary

Beneficiaries: E-Group ICT Software Zrt. · Semmelweis University · Budapest University of Technology and Economics

Research and development of federated AI technology for the creation of sovereign biobank data networks

The goal of the project is the research and development of the FedXGen module, part of the FedX platform, based on federated learning. A toolkit will be developed to support the analysis of genomic and phenotypic data, incorporating AI-based functionalities and patented underlying technologies. The system will enable federated learning-based analytical and virtual data access services, allowing for unified analysis of sovereign biomedical data stored in a distributed manner—strictly without access to actual personal data by anyone outside the managing institution of the biobank, thus complying with current and future security and data protection regulations.

Project ID

2024-1.1.1-KKV_FÓKUSZ-2024-00061

Grant amount (HUF)

641 916 982

Total project cost (HUF)

896 557 415

Planned completion date of the project

05.31.2027

Details Project financed from the NRDI Fund — National Research, Development and Innovation Office, Hungary

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