The feedback loop AML has been missing
Syntheticr provides objective insights into AML performance, helping teams test, train, and benchmark their capabilities.
FEATURES
Syntheticr is an agent-based simulation using a proprietary library of statistical financial behaviour. Instead of generic behaviour, each “agent” behaves like a real customer performing transaction after transaction. This creates realistic payment flows, account activity, and network interactions you can trust for financial crime model development and testing without ever touching real-world data.
Synthetic data built on real-world statistics
Objective and impartial performance scorecards
We provide and objective and impartial scoring-as-a-service evaluating your AML models, rules, and AI-generated recommendations against the ground-truth labels in the data. These highly-detailed, actionable scorecards include true/false positive rates and typology coverage so you can confidently validate model development, compare vendors, and improve performance.
Embedded criminal activity and network typologies
Our datasets don’t just look realistic — they include embedded criminal networks reflecting known money laundering methodologies and sophisticated network typlogies. From smurfing and mule activity to layered transfers and circular flows, Syntheticr gives your teams a safe way to test and train models and systems against scenarios that mirror real-world transaction patterns and financial crime activity.
Industry-standard formats for easy integration
Our synthetic datasets are provided in industry-standard formats and schemas designed to drop straight into your current stack, including common AML, fraud, and transaction-monitoring systems. This makes it easy to run end-to-end model testing, regression checks, and vendor evaluations without re-engineering data pipelines or rebuilding your data layer.
No bias. No risk. Just peace of mind.
Syntheticr was designed to be completely risk-free. Our synthetic datasets contain no real-world data on people, accounts, or activities, so you can share them across teams, systems, vendors, and regulators with confidence. No GDPR risk. No privacy concerns. No reputational exposure. Just safe, high-fidelity data built to test, train and benchmark financial crime capabilities
Experience how easy it can be to test and train your AML system
Start your free trial and get objective performance insights - without using production data.
SYNTHETIC DATASETS
Financial Institutions
Each Financial Institution has transaction data relating to their customers and counterparties. This contains all transactions over a two-year time period, with the smallest institution containing over 100m transactions performed by 150k entities.
Financial institutions vary in size and sophistication, impacting transaction volume and levels of financial criminality. Each has a risk intelligence file containing alerts, SARs and Exits with varying levels of accuracy. Progression from the smallest financial institutions to the largest is strictly based on your level of performance, with performance thresholds triggering an upgrade.
Financial Ecosystem
The Financial Ecosystem contains the data relating to every Financial Institution, entity, and transaction providing perfect visibility of the most complex multi-bank money laundering methodologies and network typologies within the dataset.
Financal Ecosystem contains data for over 1.5bn transaction perfomed by 1m entities over a two-year time period. There is also an in-built ‘greenfield’ time period - where no risk intelligence is available - to support transfer learning and avoiding over-fitting.
Custom
Syntheticr can be adapted or regenerated to meet custom requirements:
Scope/Volume: Transactions, entities, timeframe, jurisdictions
Content: Typologies, methodologies, scenarios
Outputs: Custom scorecards, integrations, assurance outputs
Specialist
Specialist versions of Syntheticr are available for specific use cases that demand precise specifications or additional fields. This includes:
Hackathons: Data for short‑term, high‑intensity experimentation
Technology demos: Safe, realistic datasets for showcasing capabilities
Employee training: Hands‑on scenarios with real‑world behaviours
Experience Syntheticr Today
Start a 30-day trial to get your first performance scorecard for free. No production data required.