2024-1.1.1-KKV_FOCUS-2024-00039

Adaptive, multi-domain content management framework with process digitization services and artificial intelligence support

Consortium members:

Consortium leader: Zenitech Consulting Zrt.

Consortium member: Budapest University of Technology and Economics

Consortium member: QUATTROSOFT Kft.

Project ID: 2024-1.1.1-KKV_FÓKUSZ-2024-00039

Project title: "Adaptive, multi-domain content management framework with process digitization services and artificial intelligence support"

Total project cost: HUF 1,263,054,358

Amount of support: HUF 800,000,000

Support intensity: 63.34%

Amount of support for Quattrosoft Kft.: HUF 240,080,000

Start of project implementation: 01.03.2025

Planned physical completion of the project: 28.02.2027

Project description:

Zenitech Consulting Zrt, QUATTROSOFT Kft. and the Budapest University of Technology and Economics (BME) aims to create an innovative, artificial intelligence-supported content management and process digitization framework that takes digital experiences to a new level and enables the creation of modern, AI-based applications and services with high efficiency and the highest technological standards. The development focuses on a platform available as a service that supports native mobile and web applications, enabling companies to quickly and easily customize their content, appearance, and interactive elements, i.e., virtually the entire functionality of the applications, without the need for separate development or costly updates.

One of the system's unique features is its generative artificial intelligence context-based content generation, its self-learning user behavior analysis module, and its personalized content recommendations based on reinforcement learning. It also offers the possibility of integrating intelligent chatbots, summary generators, or image generators, using only user-level knowledge. The unique workflow engine makes it easy to digitize business processes and services and integrate them into applications.

The system can predict user load peaks, fraud, or system errors and automatically optimize performance through the cloud platform's APIs. This system is redefining the world of personalized, intelligent digital solutions—fast, adaptive, and user-friendly.