On 25 November 2025, the EVENFLOW project hosted its webinar titled Showcasing AI Tools developed within the project, bringing together researchers and practitioners for a live presentation of the project’s core technological outputs. The 90-minute session offered participants a guided tour through the AI tools developed within EVENFLOW, demonstrating how hybrid, neuro-symbolic methods can make AI systems more scalable, explainable and trustworthy.

Watch the video of the webinar:

The webinar featured three live tool demonstrations delivered by members of the consortium:

• EVENFLOW Scalability Toolkit – presented by N. Giatrakos (ARC)
  Attendees were introduced to a framework designed to support large-scale, real-time neural learning over streaming data. The toolkit includes innovative technologies such as SuBiTO, enabling adaptive resource optimisation and dynamic model updates for demanding applications.
• Reasoning-Based Forecast Interpreter – presented by N. Katzouris (NCSRD)
  This tool focuses on enhancing model transparency by providing interpretable, logic-based explanations for AI forecasts. It is particularly suited to complex event forecasting tasks, where understanding why a prediction is made is as important as the prediction itself.
• EVENFLOW Verification Tool – presented by S. Varghese & A. Hekal (ICL)
  The presenters demonstrated how the tool can verify model reliability and robustness across different scenarios, such as navigation and planning for automated guided vehicles (AGVs). The tool contributes to ensuring safe and dependable AI deployments in industrial environments.

Th. Poulakidas, Netcompany, Coordinator of EVENFLOW

N. Giatrakos, ARC partner, presenting the Scalability Toolkit



Participants had the opportunity to ask questions throughout the session, engaging with presenters on topics such as practical deployment, integration in existing workflows, and future extensions of the tools. The active Q&A highlighted the growing interest in neuro-symbolic AI and trustworthy machine-learning systems.

N. Katzouris, NCSRD partner, presenting Reasoning-Based Forecast Interpreter

A. Hekal, ICL partner presenting the Verification Tool

S. Varghese, ICL partner presenting the Verification Tool

All showcased tools are available as open-source resources, supporting adoption by the wider research and industrial community. AI developers, data scientists and organisations working in sectors such as IoT, manufacturing and healthcare are encouraged to explore the tools and integrate them into their own pipelines.