From kick-off to final delivery, the aSIEMmetry consortium builds the next generation of AI-powered Security Operations Centres. Along the way the team provisions a dedicated Cybersecurity & AI Laboratory, develops the core Security Entropy Framework services for anomaly detection, and enriches them with real SOC incident feedback. Updated network and asset collectors feed live SIEM/SOC data into models that are trained and optimised on operational datasets, while a self-hosted LLM SOC agent is trained to support analysts. The project delivers novel AI-enhanced SOC dashboards and an entropy-based CTI exchange, validated against a curated set of evaluation use cases — culminating in a fully trained, operational Next-Generation SOC platform and a final report to the European Commission.