What to expect?
Learn how graph-native connected data analytics platform is driving innovation in public security and total defence.
Join us at Mötesplats Samhällssäkerhet 2025
18-19 March 2025 | Kistamässan, Stockholm
Mötesplats Samhällssäkerhet is the Nordic region’s largest gathering of professionals dedicated to public security and total defence. This year’s theme, “Society’s Resilience—Collaboration for a Secure Future,” addresses the growing need for robust crisis preparedness and international security cooperation in the face of complex threats.
Visit us anytime at booth A:24.
We look forward to connecting with you at Mötesplats Samhällssäkerhet 2025!
Let’s work together to ensure a secure and resilient future for all.
Please note, the exhibition is free of charge, but the conference has a fee.
More event and general programme information is here.
Presentation at Mötesplats Samhällssäkerhet 2025
Fusion Analysis for National Security: Unifying Disparate Data for Smarter Investigations
Join Iulian Timischi, Intelligence Analyst Consultant with NATO experience and an INTERPOL speaker, as he demonstrates how fusion analysis empowers analysts to integrate and analyse diverse data sources within a single unified view. See how cutting-edge graph technology enhances collaboration, strengthens national defence, and streamlines investigations.
Who called, who’s connected?—Get Phone Forensics in Action
How do you turn raw phone data into a clear investigative narrative? Join Iulian Timischi, as he demonstrates how the connected data analytics platform reconstructs communication patterns, integrates forensic extractions, and connects critical data points.
See how GraphAware Hume seamlessly bridges high-level crime scene analysis with detailed phone forensics—enhancing collaboration, accelerating investigations, and breaking down data silos.
Mötesplats Samhällssäkerhet official conference language is Swedish. We will conduct our LIVE Demos in English.
Feel free to request your personal DEMO with us anytime during Mötesplats Samhällssäkerhet.
Exhibition
Graph Powered Police Investigation
Stop by our booth to witness how Hume, powered by a graph database, revolutionises police investigations.
Our engineers will demonstrate how Hume seamlessly integrates disparate data sources, employs advanced analytics like temporal and geospatial analysis, and empowers investigators with intuitive visualisations. From identifying prime suspects to monitoring offenders and identifying threats, Hume streamlines the entire investigative process.
Analysts visiting our booth will experience the power of data linkage and complex querying firsthand, discovering how Hume, with its graph database backbone, can enhance their investigative efficiency.
Knowledge Graph Extraction from Unstructured Data Using GPT
At our booth, we will also showcase a groundbreaking paradigm shift with Large Language Models (LLMs) utilised for extracting knowledge graphs from diverse unstructured data sources such as documents, judicial reports, investigator reports, and social media posts.
Seamlessly integrated within the Hume data orchestration tool, LLMs empower data engineers to effortlessly integrate them into workflows, significantly reducing the time to acquire knowledge from months to mere minutes. Hume Orchestra harnesses the power of LLMs for entity extraction and relationship identification from text, sculpting a structured graph/network within a production system.
Creating Knowledge Graph from Phone Forensics
We will demonstrate the ingestion of forensic phone extractions and their transformation into a knowledge graph.
Based on information content and graph connectivity, we will select the most relevant target entities. Then, we will extract key information from these target phones using cutting-edge AI, including LLMs. Finally, we will enrich the data using OSINT, providing unique context on the target entities.
Seamlessly integrated within the Hume data orchestration tool, LLMs empower data engineers to effortlessly integrate them into workflows, significantly reducing the time to acquire knowledge from months to mere minutes. Hume Orchestra harnesses the power of LLMs for entity extraction and relationship identification from text, sculpting a structured graph/network within a production system.
