Native graph database
Store and query highly connected data with the Cypher query language.
Neo4j is a native graph database and analytics platform. It stores data as nodes and relationships, so you can query and analyse connections directly. That makes it well suited to fraud detection, knowledge graphs, recommendations and GraphRAG for AI agents.
NitronEdge works with Neo4j to design, implement, integrate and support Neo4j for organisations in the Middle East, Africa, the USA, India and Canada. It sits in our Graph Analytics & Knowledge Graphs practice.
Updated October 2026
The graph database and analytics platform for connected data.
Store and query highly connected data with the Cypher query language.
Algorithms for community detection, centrality, similarity and link prediction.
Ground LLMs and agents in a knowledge graph for more accurate, explainable answers.
Fully managed Neo4j on major clouds, or self-managed on-premises.
Follow multi-hop relationships in milliseconds for live decisions.
How NitronEdge applies Neo4j across industries, tagged so you can jump straight to your sector.
Find shared devices, accounts and addresses that link suspicious customers.
Connect documents, systems and people so agents answer with context.
See how failures cascade across network elements or plant equipment.
Map the use cases, data and integrations where Neo4j creates value; agree the KPI.
Architect Neo4j within your stack: identity, data access, security and where it runs.
Configure, integrate and test Neo4j, with agents and automations where they add value.
Adoption, managed support and continuous optimisation of your Neo4j investment.
How Neo4j sits alongside the other Graph Analytics & Knowledge Graphs technologies we deliver.
| 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.
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) regionsGraphRAG combines a knowledge graph with retrieval-augmented generation, so an AI model retrieves connected facts rather than isolated text chunks. Answers become more accurate and easier to explain.
Yes. NitronEdge Technologies works with Neo4j to design, implement, integrate and support Neo4j for organisations in the Middle East, Africa, USA, India and Canada.
Gives agents and analysts a knowledge graph of how customers, accounts, assets and events connect. NitronEdge positions Neo4j in the Data Analytics & Governance layer of its agentic stack (ground truth).
Yes. We work with organisations across the Middle East (United Arab Emirates, Saudi Arabia, Oman, Qatar, Bahrain, Kuwait), Africa (South Africa, Nigeria, Kenya, Egypt), the USA, India and Canada. Delivery is remote and on-site, and we design every project around the local data protection and data residency rules.
NitronEdge delivers Neo4j for Banking & Financial Services, Telecommunications, Retail & Consumer, Public Sector & Government and Oil & Gas.
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