What Are the Components of the Linkurious Decision Intelligence Platform?

Linkurious is a modular, graph-powered decision intelligence platform. Its components fall into four functional layers: data unification and enrichment (including entity resolution), graph visualization and AI-assisted graph analytics, the underlying graph database and JavaScript graph library, and the application-building layer that ties them together. Because the platform is modular, organizations can adopt individual components rather than the full stack — the right combination depends on whether you need to consolidate data, explore it visually, detect patterns automatically, or ship a custom graph application.

Data Unification and Enrichment

The foundation layer turns fragmented records into a single, actionable source of truth. According to Linkurious, this involves unifying and enriching structured and unstructured data from across the organization. Two named elements sit here:

• Entity Resolution — reconciles records that refer to the same real-world entity across disparate sources.
• AI-powered unstructured data intelligence by Nuix — extracts signal from unstructured content so it can be joined to the graph.

This layer matters most when your problem is data quality and fragmentation rather than analysis itself. If your records already live in one clean graph, you can likely skip or minimize it.

Graph Visualization and Graph Analytics

This is the exploration and detection layer, and it contains the most granular set of capabilities described on the site:

• Customizable, interactive graph visualizations for intuitive data exploration and contextual analytics.
• Advanced graph analytics with AI and no-code tools, positioned as making graph analysis accessible without programming.
• Multi-model alerting powered by graph analytics, including alert consolidation and deduplication to reduce false positives and negatives.
• Case management built for teams, with comments and tagging, export and publishing of findings, shared workspaces and queries, and role-based access control.

The alerting and case management pieces are what distinguish this from a pure visualization tool: detection and team workflow are treated as part of the same component group.

Graph Database and JS Graph Library

The platform is explicitly "powered by" a graph database and a JavaScript graph library, alongside entity resolution, visualization, and analytics. These are the technical substrate — the storage and rendering layers that the visualization and analytics components run on. The site does not publish version numbers, supported database vendors, or licensing terms for these elements, so confirm technical fit and deployment details directly with Linkurious before planning an integration.

The Modular Application Layer

The top layer is about building on the platform rather than just using it: Linkurious describes the stack as supporting development of your own graph application. In practice this means the same components — resolution, visualization, analytics, database, JS library — can be composed into a tailored application instead of the standard interface. This is the option to consider if off-the-shelf exploration doesn't match your workflow.

Choosing Based on Your Starting Point

What Customers Report

Linkurious cites customer outcomes of detecting up to 20% more suspicious cases, investigating sophisticated criminal activities up to 10x faster, and reducing time spent on alerts by an average of 30%, with more than 10,000 users globally. These are vendor-reported figures across named domains — counter fraud, AML/CTF, cybersecurity, network and IT operations, law enforcement and intelligence, supply chain, and knowledge graphs — so treat them as directional rather than guaranteed for any single deployment.

Pricing and free-trial terms are referenced on the site but no rates or conditions are published; verify commercial details directly with Linkurious.