Uncover up to 20% more fraud
Anti-Fraud Solution

Uncover up to 20% more fraud

Seeing the connections in data transforms fraud detection and investigation. Linkurious helps teams uncover more suspicious cases, work through complex fraud investigations faster, and spend less time on low-value alerts.

Challenges

By the time you connect the dots, it’s usually too late

Because the most damaging fraud schemes often hide across multiple cases, people, and events.

Disconnected records slow down fraud investigations

Disconnected records slow down fraud investigations

Investigators must piece together information spread across multiple internal and external sources. Those disconnected records force teams to manually reconstruct the full context behind suspicious fraudulent activity.

Traditional systems can’t keep up with evolving fraud

Traditional systems can’t keep up with evolving fraud

Unmasking fraud relies on understanding connections that are hard to detect and investigate with siloed data and tabular views. As tactics move beyond known patterns, fraud networks and criminal behaviors remain invisible until it’s too late.

Too many alerts, not enough clarity

Too many alerts, not enough clarity

Traditional rule-based systems flood teams with alerts that lack context, forcing investigators to spend most of their time validating noise. This leads to false positives, slower response times, and investigator fatigue.

When analysis depends on technical specialists

When analysis depends on technical specialists

Advanced data analysis often requires specialist skills, leaving most investigators dependent on a few technical experts. Bottlenecks emerge, reducing both investigation speed and team capacity.

Use cases

Linkurious adapts to your needs

Synthetic identity fraud

Synthetic identity fraud

Insurance fraud

Insurance fraud

Social benefits fraud

Social benefits fraud

Credit and loan fraud

Credit and loan fraud

Internal fraud

Internal fraud

Account takeover (ATO)

Account takeover (ATO)

Payment fraud

Payment fraud

Procurement fraud

Procurement fraud

Tax evasion

Tax evasion

Benefits

From alerts to insights in minutes, not days

When the connections are visible, fraud cases move forward with speed and accuracy. Context guides priorities and decisions from the start.

Reveal fraud you couldn’t see before

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Work through cases with full context by linking data about people, phone numbers, emails, events, cases, and more, so decisions are based on patterns, not isolated signals.

Complex investigations, made simple

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Intuitively search, filter, change layouts, follow paths, build advanced queries to explore connected data from multiple angles and reveal sophisticated fraud patterns in minutes.

Cut through alert noise

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Keep up with complex anomaly detection and evolving fraud patterns with graph-powered detection capabilities. Combine multiple rules into a single alert to lower false positives and negatives, see contextual information at glance and reduce your team’s workload to focus on what really matters.

Make advanced analysis accessible to everyone

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Visual exploration and no-code queries let every analyst or investigator work confidently with complex networks, so insights no longer depend on a handful of technical specialists.

Built for team collaboration

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Share visualizations and assets, leave comments and notes on the case for your colleagues, so teams can work together efficiently on complex cases.

Discover Linkurious Decision Intelligence Platform. Powered by Graph Technology.

A modular platform for smarter, context-driven decisions.

Looking to embed graph capabilities in your anti-fraud software?

Looking to embed graph capabilities in your anti-fraud software?

Cut down on development costs and time with Ogma. Ogma is a high performance JavaScript library designed for large scale graph visualizations. It gives developers control over performance and user experience without starting from zero.

We're making a difference

Zurich Insurance reduces fraud case triage time 30%

Zurich Insurance brought clarity to fraud investigations with graph technology. With Linkurious, investigators cut triage time by 30% and eliminate false positives faster. When connections are clear, decisions happen faster.

BforBank detects and investigates fraud faster with Linkurious

BforBank moved away from slow, siloed fraud tools to a graph-based approach that reveals connections in seconds. With Linkurious, investigators identify fraud rings up to 10× faster and stop 20% more fraud attempts.

Deloitte delivers disruptive technology to more efficiently combat financial crime

Deloitte’s forensic analytics and financial crime teams in Switzerland have adopted Linkurious Enterprise to deliver top solutions for investigations, internal audits, AML alerts review, KYC activities, and more.

They made the leap forward

“I’m really pleased with this tool. It helps us locate unusual activity really quickly. Analysis that would have taken us a full day may now take us 2 hours.”
Alejandro RivasAnalyst, EU Consumer FIU team, Ria Money Transfer
“In one click, the information appears in Linkurious Enterprise. Based on the graph, it’s easy to understand if it’s suspicious or not. You can see all the information linked to the claim.”
Paul KuehneHead of Special Investigation Unit, Zurich Insurance
“The processing time to identify fraud rings was divided by 10. In a recent investigation, a ring of 11 fraudsters was detected and identified within half an hour. Because of its complexity, a similar case would have taken several days to complete before the implementation of Linkurious.”
Alexandre DressayreChief Compliance Officer, BforBank
“Linkurious Enterprise allows non-technical people to access graph capabilities in a friendly way. All the complexity is removed for the end user who can access very powerful graph exploration capabilities via simple actions.”
Christophe da SilvaDirector of Data Analytics and eDiscovery, Deloitte Switzerland

Ready to close fraud cases faster?

Reveal the connections that matter and eliminate noise across fraud investigations.

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