GraphAware at GraphSummit 2024

Stockholm, SWE

21 May, 2024


What to expect?

We are excited to be part of Neo4j's GraphSummit Stockholm on May 21st, 2024, as we explore the future of interconnected data and AI. Discover how graph technologies are driving breakthroughs in productivity and growth for organisations worldwide.

Learn how GraphAware’s HUME is assisting the Western Australia Police Force in their investigations.

Experience visionary keynotes, real-world case studies, and dynamic panels throughout an action-packed day.

Meet us to discuss the latest advancements in graph analytics technology.

Looking forward to seeing you there!


Transforming policing with graph-based intelligence analysis

21st May 2024, 10:40 AM (CET)

Petr Matuska, our Sales Lead, will lead this keynote.

Western Australia Police Force's adoption of Neo4j and the GraphAware Hume platform marks a significant advancement in data-driven policing. Facing the challenges of growing volumes of valuable data scattered in disconnected silos, the organisation successfully implemented Neo4j database and Hume, consolidating data from various sources into a dynamic knowledge graph.

The result was a connected view of intelligence, making it easier for analysts to solve crime faster. The partnership between Neo4j and GraphAware in this project demonstrates the transformative impact of graph technology on law enforcement's ability to leverage growing volumes of valuable data to prevent crime and protect communities.



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.

LLM for Knowledge graph 2

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.


What our customers say about Hume

When a child goes missing, every minute counts. With Hume, we don’t have to start from scratch every time an event like this is reported. Our data is available and ready to be analysed. We can act fast and save lives.”

“The system has instantaneously produced results that would have taken a human a significant amount of time to conduct manual analysis, and in some cases identified links that would have unlikely been identified at all.”

“I feel like a caveman that discovered fire.”