Machine Learning

Many companies are data-rich but knowledge-poor. TruNarrative tackles this head-on. Pitfalls and inefficiencies plague traditional approaches to detecting fraud and preventing money laundering. They can create unmanageable levels of alerts. Or miss the very behaviour change they have been put in place to spot.

Machine Learning
TruNarrative | About Us, Powerful Insights, Our Technology

Extracting knowledge from data

Luckily several external factors have aligned to provide a solution to many of these issues.

  1. The increase in data availability, dubbed ‘Big Data’.
  2. Improvements in processing power delivered by GPUs.
  3. Cloud access.
  4. The rise of Machine Learning techniques to detect unknown or unclear, yet significant, patterns in data.
  5. The acceptance in many sectors that Machine Learning can add much needed insight and automation.

Taken together, these factors promote a sea-change in the process of detecting fraud and preventing money laundering.

TruNarrative delivers advanced detection based on decision tree and proven Machine Learning techniques. Our clients, the consortium and external sources provide the data. The TruNarrative platform continually analyses masses of this data, seeking patterns which reveal knowledge that otherwise would be overlooked. This enables us to automate much of the analytics and improves detection, whilst minimising false positives across the entire fraud and AML process.

Machine Learning | Machine & Human Collaboration

Perfect balance of machine & human collaboration

Machine Learning and human insight combine in the most advanced solution. Human judgement contributes throughout.

We use this process to build our Machine Learning models. These models are then refined automatically as new data enters the TruNarrative platform. The platform gets smarter on every new event and learns 24×7.

We also constantly review all decision tree rules held in our service against your performance data. This ensures you are not deploying inefficient or ineffective rules. We flag which rules you deploy that could be more effective or we find new rules not considered before. You remain the expert.

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Not a Black Box

The idea that Machine Learning is a “magic black box” makes people wary. Black box solutions provide little or no explanation of why a specific customer has been flagged as suspicious. We understand the concern.

So TruNarrative uses a selection of “white box” Machine Learning methods. These show you the reasoning for any customer flag. Of course we can also deploy neural networks at single and multi-layer should you require or even champion them against each other.

You stay in control. As you become familiar and comfortable with the benefits and accuracy of our Machine Learning you can selectively allow it to make more automated decisions. However much or little you choose to automate, you can always stay in full control of the final decision process.

Accessible Machine Learning, Robust Compliance

Making Machine Learning accessible to all

Barriers to implementing Machine Learning exist. Old legacy systems and attitudes within large companies mean it’s hard to know where to start. Smaller companies may worry about the cost of adopting these modern techniques.

We understand. So we designed the platform to make the application of Machine Learning seamless.

You need no prior knowledge of Machine Learning to gain value from TruNarrative. Our platform presents simple measures of suspicion, similar to familiar static rule-based methods.

We’ve lowered the cost of ownership. Once only large corporations with a sizeable dedicated data analytics team could apply Machine Learning. Now, through our Consortium, companies with smaller budgets can obtain access to analytics and insight previously out of reach.

Machine Learning works well with

Application Fraud

TruNarrative prevents application fraud by creating the perfect balance between traditional methods of detection and the latest techniques. 

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Transaction Fraud

Transaction Fraud

TruNarrative combines rules, data, machine learning and human intuition to prevent fraud that occurs during a customer transaction or interaction.

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AML Monitoring

AML Monitoring

A flexible rules engine, machine learning and efficient case management system lie at the heart of the TruNarrative solution for AML Monitoring. Ensuring you comply whilst keeping cost low and transactions smooth.

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Behavioural Monitoring

Behavioural Monitoring

In safe commerce, you spot your good customers faster while weeding out villains more easily. Using behavioural monitoring from TruNarrative, you can understand and spot high-value customer behaviour patterns then differentiate their experience.

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Sharing insight across organisations is proven to be more effective than working alone or in silos. Our platform allows you to securely share and communicate across peer groups and geographies.

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App Store - Partner Apps

App Store

The world is awash with Big Data. With endless apps ready to use, inside TruNarrative, you can find new suppliers in the app store, or ‘bring your own’ valued supplier or service and integrate them in minutes.

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Machine Learning is ideal for these markets

Banking Fraud Market


Traditional banks moving into digital benefit from adopting TruNarrative’s holistic view. The same holds true for new fintech companies and banking startups.

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Alternative Finance

Lending and Trading

Online Lenders, P2P, Crowd, Short-term, Point of Sale lenders and Trading Platforms all facilitate their growth, avoid fraud and ensure compliance through our unified approach. 

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Lending, Markets


As credit evolves, consumers expect more and more online. Adopting TruNarrative prepares you to deliver on consumer expectations, day in and day out by solving the Identity, Fraud and Compliance risks that can cause delays in on-boarding new customers.

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Online Gaming, Markets

Online Gambling

Comply with responsible gambling requirements, age verification, eKYC and anti-money laundering regulations whilst nurturing your genuine and VIP customers. Managed by one unified platform where customer behaviour can be predicted.

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Insurance | Markets


Reduce fraud incidence, lower cost of acquisition and show regulators you’re controlling premium increases by ensuring good customers are not penalised by the bad.

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eCommerce, Markets


Merchants seek to find and retain good customers, without declining genuine customers who might trigger their risk profiles. TruNarrative shows which are your hero customers from the villains.

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Application Fraud | Payments


Tackle fraud & risk at every stage of the payment lifecycle by layering detection strategies and technologies to find that perfect balance between revenue and risk detection.

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