Our vision is to enable organisations to use data and technology more effectively and efficiently to transform their financial crime and fraud functions: protecting them, their clients and the wider society from global threats.
We have built scalable and robust assets and accelerators, standardised models and frameworks that accelerate time to value no matter your size or infrastructure.
Financial Institutions are facing multi-dimensional challenges in protecting themselves and their clients against financial crime.
The pace of regulatory changes has caused institutions to meet current and future regulatory requirements in isolation.
This creates inefficiencies that compound over time and cause disproportionate regulatory risk.
The number of fines issued by the Financial Conduct Authority has risen 160% YoY (2021 - 2022), and so has the size of the average fine for medium to large financial institutions.
Automation, systems and data means that teams spend less time finding data and more time understanding and making valuable business decisions.
Processes and technology need to be aligned to the data they can use, ensuring you break data silos and build world-class, future-proof solutions.
Financial Fraud is the #1 crime in the United Kindom, as per the National Crime Agency.
New digital channels have exposed institutions to be vulnerable to new vectors of attacks which are difficult to predict and monitor, causing record customer losses.
We use Modern ML and AI and strengthen your analytics capabilities to improve your Fraud Detection and Fraud Prevention
Fraud Prevention Offering
We build or improve your client management platforms, delivering stronger workflows, automations and case management solutions to help you be customer obsessed and compliant with regulatory workloads such as KYC, CDD and EDD
Leverage existing or establish new analytics to grasp your current exposure
Analyze historical data to identify trends and patterns
Identify root cause hypotheses for your highest exposure
Rapidly build agile, targeted solutions, such as custom fraud models
Leverage innovations like machine learning and AI to complement your existing Fraud Prevention​
Break and Fail fast to eliminate ineffective hypotheses
Build a buisiness case and roadmap to scale validated solutions
Continually improve operational excellence with AI and ML Ops​
Transition teams to a fully metric led operation
