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Data Analytics & Governance

Graph Analytics & Knowledge Graphs

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.

Key facts

What does NitronEdge offer in Graph Analytics & Knowledge Graphs?

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

Solution pillar
Data Analytics & Governance
What we deliver
Graph data modelling; Knowledge graphs & GraphRAG; Fraud & AML analytics; Investigation workspaces
Technology partners
Neo4j, Linkurious
What we deliver

See the connections that tables hide

Graph data modelling

Turn relational and event data into a well-designed graph.

Knowledge graphs & GraphRAG

Ground AI agents in connected, explainable facts.

Fraud & AML analytics

Graph algorithms that surface rings, mules and hidden links.

Investigation workspaces

Visual case tools for analysts, with alerts and audit trails.

Compare

Neo4j vs Linkurious: which fits?

The Graph Analytics & Knowledge Graphs technologies we deliver, side by side.

PartnerBest forRole in your stackTypical industries
Neo4jThe graph database and analytics platform for connected dataGives agents and analysts a knowledge graph of how customers, accounts, assets and events connect.Banking & Financial Services, Telecommunications, Retail & Consumer
LinkuriousGraph visualisation and investigation for fraud, AML and security teamsThe 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.

Use cases

Where it creates value

With Neo4j

Fraud ring detection

Find shared devices, accounts and addresses that link suspicious customers.

With Linkurious

AML investigation

Trace money flows across accounts and entities and document the case.

With Linkurious

Insurance and benefits fraud

Expose networks of claimants, providers and addresses.

How we deliver

How NitronEdge delivers Graph Analytics & Knowledge Graphs

01

Assess

Map the use cases, data and integrations where Graph Analytics & Knowledge Graphs creates value; agree the KPI.

02

Design

Architect Graph Analytics & Knowledge Graphs within your stack: identity, data access, security and where it runs.

03

Implement

Configure, integrate and test Graph Analytics & Knowledge Graphs, with agents and automations where they add value.

04

Operate

Adoption, managed support and continuous optimisation of your Graph Analytics & Knowledge Graphs investment.

FAQ

Frequently asked questions

When should we use a graph database?

When 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.

Which Graph Analytics & Knowledge Graphs technologies does NitronEdge work with?

We deliver Graph Analytics & Knowledge Graphs with Neo4j and Linkurious, and recommend the right fit after understanding your requirements.

Does NitronEdge provide Graph Analytics & Knowledge Graphs services in my country?

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.

Enquire

Talk to a Graph Analytics & Knowledge Graphs specialist

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.

  • A free 45-minute discovery call
  • Options for cloud, GPU cloud or your own data centre
  • Security and controls planned from the first conversation

Talk to a specialist

Pick whichever suits you. We reply within one business day.