We’re happy to welcome AlvaEduSmart to the Danube Digital Accelerator! To start off – could you introduce AlvaEduSmart and explain what you’re building, who it’s for, and what problem in higher education you’re tackling? 
‍The AlvaEduSmart project originated from the idea of creating an integrated information system (ISU) that combines educational process management, learning, and data analytics using AI. The product is primarily targeted at universities and other higher education institutions, as well as organisations that implement educational programmes for various categories of students. The goal of ISU is to automate key processes using AI: management of curricula, schedules and teacher workloads, work with student data, assessment, reporting and integration with LMS and government systems. It should be noted that the ISU system is already in operation at Uzhhorod National University.
The main problem we are solving can be described as the fragmentation and obsolescence of digital infrastructure in higher education. Most universities work with disparate or partially automated solutions, which leads to data duplication, errors, high workload on staff, and a lack of analytics for management decision-making.

What was the biggest pain point in university operations that made you start AlvaEduSmart?
The most critical problem we observe in the work of universities is the inefficient and overly manual management of educational processes, in particular the formation of schedules and coordination of data between different systems.
In many higher education institutions, methodologists spend three to five weeks compiling a single semester schedule. Even after that, it often contains overlapping classes, ‘windows’ in the students' schedules, uneven workloads for teachers, and inefficient use of classroom space. This creates constant conflicts and complaints and requires manual adjustments throughout the semester.
An additional challenge is the lack of intellectual support: existing systems either do not have AI modules at all or use purely algorithmic, experimental solutions that do not work as a single integrated system.
It was this combination — manual work, fragmented data, and a lack of intelligent tools — that prompted the creation of AlvaEduSmart as a modern, scalable, and data-driven solution for universities.

In day-to-day practice, what tasks does your system automate for administrators and faculty staff?
In everyday work, the ISU significantly simplifies and automates routine processes that usually take up a lot of time for teachers and administrators. For methodologists and administrators, the system generates a schedule using an AI module that takes into account the workload of teachers, the availability of classrooms, and the requirements of educational programmes. This avoids overlapping classes, gaps in the schedule, and uneven workloads. The resource also manages curricula and teacher workloads, and, in conjunction with data synchronisation with the Unified State Electronic Database of Education, controls the contingent of applicants and staff.  Automation of the formation of information and attachments to diplomas significantly speeds up the process of preparing for the issuance of educational documents.
For teachers, the platform becomes the centre of their daily work: they have personal accounts with access to schedules and groups and can keep track of student performance. This allows teachers to spend less time on paperwork and more time on teaching and self-development.

How do students benefit through your AI advisor and learning-path recommendations?
The system will include AI Curriculum Analyzer – a personalised advisor that will not only serve as a university navigator, but will also constantly analyse progress and performance, suggest optimal learning paths, and help plan course selection according to individual needs and goals. This feature will allow students to distribute their academic workload more effectively, see their strengths and weaknesses, and receive personalised recommendations in real time. Thanks to this approach, applicants will receive a fully individualised learning path, which will make the learning process more transparent, understandable, and effective.

What makes you different from existing university systems in your region and why should a university choose you?
Most university systems in our region focus solely on accounting and reporting. For example, MIA: Education works primarily with EDEBO and document management, Dekanat does not have modern interfaces and AI functions, and KSU24 is an internal solution for a single university with no scalability options.
Our system is different in that it combines ERP functionality with built-in artificial intelligence. We don't just store data, we optimise schedules, analyse educational processes, and provide recommendations to students, teachers, and administrators. This makes the resource not just an accounting system, but an intelligent platform for managing a modern university.

Have any DDA workshops, mentoring sessions, or discussions already influenced your go-to-market strategy, fundraising plans, or how you think about monetizing AI features?
Yes, participation in the Danube Digital Accelerator has had a noticeable impact on our development strategy. Workshops and mentoring sessions helped us to better assess market needs and the priorities of potential users, refine our product positioning, and identify the most promising segments for market entry.
Discussions with mentors gave us the opportunity to adjust our priorities, structure our business model, demonstrate the value of the platform to different types of customers, and prepare proposals for grants and government programmes.
When it came to monetising artificial intelligence features, mentors helped us see which opportunities were most attractive to customers and how to integrate them into SaaS and On-Premise formats without losing value for users.

Looking ahead, what are your next milestones after the Danube Digital Accelerator?
After Danube Digital Accelerator, we plan to actively work on scaling AlvaEduSmart among Ukrainian universities, improve AI functions for personalising learning paths and optimising schedules, and prepare the platform for entering international markets. At the same time, we are working on attracting partnerships for scaling. We want our integrated information system to become a reliable partner for universities in the digital transformation of education.

‍You can meet AlvaEduSmart in person at the ICT Technology Transfer Days: For a Greener and more Digital Danube Region on 22 January 2026. Thank you for being part of the Danube Digital Accelerator, we hope it was valuable for your journey, and we wish you continued success.

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