Financial Crime Prevention as a Service
FraudAverse reduces fraud losses at the lowest false positives in the industry
We take the industry’s leading tech to the cloud
The Safer Payments product from IBM Corp protects hundreds of billions of payments every year globally.
Safer Payments combines specialised AI with decades of fraud fighting experience. Customers get the lowest fraud at a fraction of the false positives.
We are a select business partner of IBM and we are bringing this technology to the cloud as the FraudAverse service offering.
Maximum scalability through cloud-native technology
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Hosted on all Hyperscalers
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Embeds leading AI tools from IBM, Microsoft, Google, AWS, and open source
Offered as a Service
FraudAverse is a cloud-native micro services architecture that allows our customers to run the technology as a service.
Our subject matter experts deliver the configuration, deploy or also create AI models and they can fully maintain the service for you. We utilize the same experts that are behind some of the world's largest financial crime prevention implementations.
Do you want to learn more about our solutions?
Your fast path to business outcome
Leveraging the full visual configurability of FraudAverse, the proven fraud detection performance of IBM Safer Payments, and the rapid scaling of the cloud, we deliver you business outcome in the shortest time.
Problem to pilot in weeks
FraudAverse is readily available on a hyperscaler in your region. We configure it to your business needs while you are watching. We load your sample data and you see it all working together.
Production ready
When you decide to go with us, we scale up FraudAverse on a hyperscaler of your choice, test it rigorously, and have you ready for production in weeks.
Get results
FraudAverse contains the full IBM Safer Payments product functionality, and technology. Everything you need to achieve the same outstanding results that global payment processors and retail banks achieve with IBM Safer Payments today.
Open AI
FraudAverse embraces any AI and ML. Your choice is among leading open source data science packages and commercial services including IBM watsonx.ai, Amazon SageMaker, and Google Vertex. You can even combine multiple AI technologies in FraudAverse.
Full analytics
A full set of analytics supports all functions of FraudAverse. Analysing past performance and comparing it with simulation results of new countermeasures, A/B testing, and automated MLOps enables autonomous maintenance of models and decision rules.
Hands on, hands off
You decide how much of the model generation and adaptation you perform yourself, and how much our experts should be assisting. You can go all the way from "full service", where we do it all for you, to "self service", where we only offer the platform for you.
Foundation configurations
FraudAverse contains the channel specific functionality for all use cases and payment instruments. On top of this, we have developed foundation configurations that we use to get a day one implementation off the ground fast.
Enterprise level
You may combine use cases and payment types into one FraudAverse implementation. This enables the detection of inter-channel fraud through the creation of a 360° view on customer and counterparty behavior, as well as a complete view of unfolding crime.
Pay as you go
We offer the most flexible payment options with FraudAverse usage. You only pay for what you need.
A complete solution
Customers achieving low fraud with low false positives share the experience that their success does not stem from one single “hot tech” or “wonderful new AI model”. What determines superior business outcome is the result of the clever orchestration of a set of principle functions, including:
The ultimate solution for Financial Crime Prevention
FraudAverse is the ultimate solution for preventing payment fraud and financial crime. Using Open AI technology, we offer hyperscalability and seamless integration to protect your business.
Hyperscalability
Reduction in actual fraud losses
Ultra low false positives
Connect and run
