Optimise your AML Capabilities
Test, train, and benchmark with zero risk
Trusted by
RESEARCH
What we do
Our synthetic data is the culmination of decades of financial crime experience and cutting-edge data science techniques including:
Proprietary data generators
Agent-based modelling
Parameterised reference data
Organised into industry-standard schemas, with real-world financial crime methodologies woven into it, the ‘known positives’ make it optimal for testing, training and benchmarking. Unlike ‘real-world’ data it’s also free of bias, has no privacy or copyright issues, and can be easily adapted to precise specifications.
Syntheticr is the world’s most reliable, market-proven mechanism for optimising your financial crime detection capabilities.
CUSTOMERS
Who we work with
Anti-money laundering systems are notorious for generating false-positives and missing true-positives, leading to increased cost and risk.
At the heart of this problem is the lack of an accurate and objective feedback loop mechanism to test, train and benchmark these capabilities.
Using historic alert, SAR, or convictions data simply doesn’t work - it’s hard to access, incomplete, out-of-date, biased and lacking the necessary scale.
Our synthetic data products are derived from a national-scale economic simulation and designed to deliver an objective performance assessment.
If you need to choose a system, train a model, reduce error rates, or simply provide assurance, we can help.
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We help the world’s largest and most innovative technology companies to rapidly develop and demonstrate anti-money laundering software and use cases.
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We enable the world’s largest financial services companies to manage costs and avoid fines by safely testing, training and benchmarking anti-money laundering systems.
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We provide large consultancies and financial regulators with the ability to accurately assess, benchmark and enhance anti-money laundering capabilities.
FREE TRIAL
How it works
Start using Syntheticr today, with 30-day trial access and a free performance scorecard
SIGN-UP
Start a free 30-day trial and download your copy of Institution - the simplest dataset in the Syntheticr Financial Ecosystem
DETECT
Process the transaction and risk intelligence data from Institution through an AML system or model to detect the hidden criminal networks
TEST
Upload your results to get a comprehensive scorecard detailing how your system or model performed across a range of parameters
PRODUCTS
What we provide
Institution
Performance Baseline // Vendor Assessment // Data Impact Assessment
High-Fidelity Synthetic Data: 1 Bank, 100m transactions, 150k entities
Hidden Financial Crime: Basic network typologies and criminal methodologies
Lead Intelligence: Alerts, SARs and Exits with varied reliability
Performance Scorecards: Fast, objective and actionable scoring-as-a-service
Ecosystem
System Optimisation // Model Development // System Benchmark // Volumetric Testing
High-Fidelity Synthetic Data: 6 Banks, 1.5bn transactions, 1m entities
Hidden Financial Crime: Complex network typologies and criminal methodologies
Lead Intelligence: Alerts, SARs and Exits with varied reliability
Performance Scorecards: Fast, objective and actionable scoring-as-a-service
Custom
Unique Needs // Specific Methodologies // Higher Volumes
Available to your precise specifications
Unlimited transactions, entities, and banks
Any jurisdiction, timeframe, volume, and structure
Custom data quality, transaction types, and typologies
ABOUT US
Company
Our mission is to help eradicate financial crime.
We tackled financial crime in the ‘normal’ way and got normal results, so we decided to do something different.
We built Syntheticr, a full-scale simulation of a financial ecosystem, to objectively test AML models and systems.
We worked with visionary people and innovative companies to test Syntheticr across a range of use cases.
We delivered 'abnormal' successes by enabling objective, data-driven decisions for our customers.
Today, the mission continues…come join us!
