VRAIN drives the digital transformation of manufacturing and industrial processes through intelligent multi-agent systems, digital twins, and IoT integration. Our research addresses the challenges of smart manufacturing, including real-time optimization, autonomous production control, and human-machine collaboration in Industry 4.0 environments.
Our work encompasses the development of intelligent platforms like SPADE and Magentix2 for coordinating distributed systems and resources, digital twin technologies for real-time monitoring and optimization of industrial processes, and integration frameworks that connect IoT devices with business process management systems. These solutions enable factories to achieve greater flexibility, efficiency, and sustainability by combining artificial intelligence with cyber-physical systems and autonomous computing capabilities.
VRAIN's Industry 4.0 innovations span from conceptual business process modeling and automated planning for resource allocation to intelligent fleet management and real-time decision support. Our technologies support industrial partners in achieving Industry 4.0 objectives including mass customization, predictive maintenance, energy optimization, and adaptive production scheduling, enhancing competitiveness while advancing sustainability goals across the manufacturing sector.
Related Technological Offer
Software & Patents
- Integration & Interaction — SPADE and Magentix2 multi-agent platforms
- Planning — SimFleet for fleet simulation, GREAT Process Modeller
- Reasoning — G-MAC process modeling, MOSKitt4ME model-driven engineering, MATE automation
Services
- Integration & Interaction — Intelligent agents and multi-agent systems for manufacturing
- Planning — Business process design and optimization, Process modeling and evaluation
- Reasoning — Digital twins, Industrial IoT integration, Optimization and prescriptive analytics, Recommendation systems, Real-time optimization, Autonomous computing
Related Research Areas
- Intelligent Agents and Human-Centered AI — Multi-agent manufacturing systems, human-in-the-loop automation
- Planning and Reasoning — Automated planning for production scheduling and resource allocation
- Software Production Methods — Model-driven development for industrial systems, Business process engineering
- Machine Learning and Deep Learning — Predictive maintenance, quality control through computer vision

