What to expect?
Join us at the 2026 National Intelligence Conference, hosted by the National Police Chiefs’ Council on 27th-28th January in Leeds, UK.
This flagship event brings together policing and intelligence leaders from across UK policing to learn how intelligence capability must evolve to meet emerging threats.
The conference will examine how proven intelligence practices can be strengthened with modern data, analytics, and technology — supporting analyst teams as demands for speed, accuracy, and collaboration continue to grow.
Alongside the main programme, the National Intelligence Awards Ceremony and Gala Dinner on 27 January offers an opportunity to recognise excellence across the intelligence community and connect with peers in a more informal setting.
We look forward to meeting you in Leeds to exchange ideas, share experiences, and continue the conversation over a relaxed drink.
Exhibition
Phone Forensics Analysis
Visit our booth to see how our solution creates exploratory graphs from a single or multiple phone data and connects it with police records to provide the necessary context for further criminal investigations.
Discover how Action Boards summarise information from multiple devices in one cohesive view.
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.
