Projects
Since its founding in 2008, ELTE-Soft has actively participated in and managed numerous national and EU projects, including those in software development, data management and analysis, and cybersecurity. Our projects have spanned areas such as: custom application development, network infrastructure development, artificial intelligence and machine learning applications, and the integration of complex IT systems.
Highlighted projects
DATA-EDIH
The DATA-EDIH project aims to assist SMEs and the public sector in their digital transformation, focusing on data-driven solutions and technologies. The project will offer expert guidance, business development support (including a data asset utilization and development plan), and technological solutions. The training will greatly enhance the competitiveness of participants.
DATA-Lake
Data-Lake is an advanced data management platform that allows you to efficiently store and manage large amounts of structured and unstructured data in a single, centralized location. This data can be easily accessed and processed using a variety of analytical tools, enabling companies to quickly and efficiently extract valuable business insights. Data-Lake adapts flexibly to the growing volume of data and ensures that data is properly organized and scalable, helping to accelerate decision-making and innovation.
ELTE-Soft has already been involved in three Data-Lake projects, where we have contributed with our expertise to the design, integration and optimisation of the systems. Our experience enables us to help our customers to use Data-Lake technology with maximum efficiency.
RefactorErl / SAFE
The RefactorErl project aims to support the development and maintenance of Erlang systems using static analysis methods and program transformations. Within this SAFE project, the focus is on security vulnerability analysis of Erlang systems.
Learn more: RefactorErl & SAFE
P4
The P4 domain-specific programming language is designed for programming network devices that process packets over the Internet. The primary goal of the project was to develop a translation program, but it also investigates the applicability and use cases of the language. Static parser and transformer components are also being developed.
MLforSE
Since 2018, we have been researching the intersections between artificial intelligence and software engineering. Our goal is to teach computers to understand, write and improve code. We mainly use deep learning tools, including large language models and recurrent neural networks. Currently, we are mainly interested in the study of the code interpretability of large language models, program transformations, and decryption.
EIT Digital
ELTE-Soft Kft. has partnered with EIT Digital on numerous successful projects. One of these collaborations contributed to the creation of the Entremo startup. The resulting product is a wristband for patients that measures four key metrics: body temperature, pulse, respiratory rate, and oxygen saturation. The data is transmitted in real-time to an interface at the nurses’ station
ViroFighter
The ViroFighter is a next-generation intelligent disinfection robot developed through the collaboration between ELTE-Soft Kft. and Európai Tudásközpont Kft. to aid in the fight against the COVID-19 pandemic.
CodeChecker
CodeChecker is one of the projects being developed by the Static Analysis research group. The project’s goal is to identify potential bugs and other issues in programs (primarily C/C++, Java, and Python source code) through static analysis. CodeChecker is an open-source product widely used in the industry by companies such as Ericsson, Mozilla, Graphisoft, BMW, and others.
Get in touch
If you’re interested in getting involved in our projects, we would love to hear from you. Whether you’re seeking expert consultancy, tailored training, or support with your digital transformation, our team is ready to help. Reach out to explore how we can collaborate and support your business needs.