Graph data modelling
Turn relational and event data into a well-designed graph.
We build graph databases, knowledge graphs and investigation workspaces that reveal how customers, accounts, assets and events connect, for fraud detection, GraphRAG and network analysis.
We build graph databases, knowledge graphs and investigation workspaces that reveal how customers, accounts, assets and events connect, for fraud detection, GraphRAG and network analysis. Partners: Neo4j and Linkurious.
Updated October 2026
Turn relational and event data into a well-designed graph.
Ground AI agents in connected, explainable facts.
Graph algorithms that surface rings, mules and hidden links.
Visual case tools for analysts, with alerts and audit trails.
Vendor-neutral: we recommend, implement and support the platform that fits your needs.
The Graph Analytics & Knowledge Graphs technologies we deliver, side by side.
| Partner | Best for | Role in your stack | Typical industries |
|---|---|---|---|
| The graph database and analytics platform for connected data | Gives agents and analysts a knowledge graph of how customers, accounts, assets and events connect. | Banking & Financial Services, Telecommunications, Retail & Consumer | |
| Graph visualisation and investigation for fraud, AML and security teams | The investigator's workspace on top of the graph: alerts, visual exploration and case decisions. | Banking & Financial Services, Public Sector & Government, Telecommunications |
Not sure which fits? We are vendor-neutral and will recommend based on your data, budget and regulator.
Find shared devices, accounts and addresses that link suspicious customers.
Connect documents, systems and people so agents answer with context.
Trace money flows across accounts and entities and document the case.
Expose networks of claimants, providers and addresses.
Map the use cases, data and integrations where Graph Analytics & Knowledge Graphs creates value; agree the KPI.
Architect Graph Analytics & Knowledge Graphs within your stack: identity, data access, security and where it runs.
Configure, integrate and test Graph Analytics & Knowledge Graphs, with agents and automations where they add value.
Adoption, managed support and continuous optimisation of your Graph Analytics & Knowledge Graphs investment.
Remote and on-site delivery, designed around each country's data protection and residency rules.
United Arab Emirates, Saudi Arabia, Oman, Qatar, Bahrain, Kuwait
Microsoft Azure UAE North (Dubai) and UAE Central (Abu Dhabi)AfricaSouth Africa, Nigeria, Kenya, Egypt
AWS Africa (Cape Town) RegionUSAUnited States
AWS US regions and AWS GovCloud (US)IndiaIndia
AWS Mumbai and Hyderabad regionsCanadaCanada
AWS Canada (Central) and Canada West (Calgary) regionsWhen the value is in the relationships: fraud rings, ownership structures, network dependencies, recommendations or knowledge graphs for AI. Graphs answer multi-hop questions that are slow or impractical in tables.
We deliver Graph Analytics & Knowledge Graphs with Neo4j and Linkurious, and recommend the right fit after understanding your requirements.
Yes. We deliver Graph Analytics & Knowledge Graphs consulting, implementation and managed services across the Middle East, Africa, USA, India and Canada, on-site and remotely.
Tell us which process you want to improve. Message us on WhatsApp, send an email or call, and one of our consultants will get back to you within one working day.
Pick whichever suits you. We reply within one business day.
Hi there 👋 Looking at AI, data or security? Pick a topic and we will pick up the conversation on WhatsApp.
Prefer email? contact@nitronedge.com · or call +971 56 422 8606