This session showcases how open source technologies can enhance financial intelligence and strengthen the fight against financial crime. Through a live demonstration within the goAML environment, participants will explore the use of graph databases to map complex financial networks and uncover hidden relationships, alongside named entity recognition (NER) tools that extract key information from unstructured reports. The session highlights practical, scalable, and interoperable solutions that support detection of money laundering schemes, sanctions evasion, and cross-border intelligence sharing—while promoting transparency, collaboration, and innovation within the global open source ecosystem.