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What we do

Progressive fraud leaders are staying ahead using connected intelligence and AI-driven technologies. Explore how your organisation can build stronger, more resilient defences for the future.

Customer and Network Risk Intelligence

See deeper to act faster and stay stronger

Outpace evolving threats and fuel sustainable growth with deep cross-sector intelligence that unifies risk signals, detects hidden patterns and enriches customer context. 

For Banking, validate customers faster and intercept mule activity without slowing onboarding. 

For Insurance, process claims quicker, detect fraud earlier and reduce false payouts.   

For Financing, extend credit safely with richer identity insights and stronger fraud prevention. 

Identity and Fraud Management

Total trust at onboarding and every step after

Reduce fraud losses and accelerate genuine customer boarding with advanced verification and pattern analysis capable of preventing synthetic identities and other sophisticated typologies.  

Banks validate identities instantly to fast-track onboarding and detect synthetic fraud. 

Insurance providers spot ghost brokers and false policy applications at first touch.   

Financing organisations confidently approve thin-file and underserved customers without increasing exposure. 

Financial Crime Compliance

Dynamic intelligence for resilient compliance

Strengthen regulatory defences and protect customers with proactive AML, KYC and risk alerts that flag and anticipate emerging financial crime threats. 

For Banking, intercept mule accounts and evolving money laundering risks without slowing operations.   

For Insurance, meet sanctions obligations and ensure ethical claims handling.   

For Financing, align KYC and AML checks with evolving regulations and growth needs.

Risk Automation and Orchestration

Decisions that move as fast as your market

Streamline business-wide risk management with intelligent orchestration and adaptive automation that enables fraud, financial crime, and compliance decisioning at scale. 

Banks accelerate low-risk approvals while triaging high-risk applications automatically.   

Insurers streamline claims validation to focus teams on suspected fraud cases.   

Financing providers speed up credit decisioning while maintaining tight fraud controls.

Investigations and Case Management

Triage threats faster and focus where it counts

Minimise losses and maximise operational agility with AI-driven investigations, dynamic risk scoring and streamlined case management designed for rapid, evidence-based resolutions. 

In Banking, prioritise mule and scam investigations to disrupt organised fraud early.   

In Insurance, detect tampered documents and inflated claims efficiently.   

In Financing, uncover synthetic identities and prioritise high-risk recoveries.

Proactive Risk Detection

Early, targeted insight to outpace tomorrow’s threats

Drive faster, more consistent decisions across fraud, financial crime and compliance with intelligent prioritisation and automated workflows. 

Banks predict APP scam trends and identify mules before losses escalate.   

Insurers detect claims fraud patterns earlier, reducing payout risk.   

Financing providers spot takeover and bust-out risks across accounts in real time.

Case Studies

Sky saves £4.6 million with no intent to pay strategy

Monday, April 14, 2025
Sharper signals for bad debt risk reduce missed payments and save potentially millions while preserving a seamless customer experience.

Esure automates 90% of fraud capture in real-time

Monday, September 23, 2024
Collective intelligence and real-time technologies combine to block fraud at the gate and save a month’s worth of investigative resource.

Pay.UK unlocks £100 million in potential annual savings

Monday, April 14, 2025
Our collaboration develops a strategy that could save over £100 million in scam losses by combining syndicated insight and AI.

Got a challenge or a question?

Get in touch to see how we can work together to prevent fraud by mitigating risk and staying ahead of emerging threats.

We’d love to hear from you.