How well do your AML systems actually perform?

Syntheticr helps teams objectively test, train, and benchmark AML systems without production data.

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MISSION

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AML teams lack objective feedback loops

Anti‑money laundering systems are notoriously difficult to test and optimise.

Production data wasn’t built for testing - and using it for assurance is a liability. Historic alerts, SARs, and conviction data are hard to access, incomplete, biased, and out of date, making them unreliable for measuring and improving performance.

Without an objective feedback loop, teams cannot confidently:

  • Validate current system performance

  • Compare vendors and solutions fairly

  • Measure the impact of data or model changes

  • Detect performance drift early

Syntheticr was built to solve this problem.

PRODUCT

Why teams choose Syntheticr

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Syntheticr delivers ground‑truth evaluation that measures false positives, recall, precision, accuracy, and more. Every assessment produces a quantified, decision‑grade scorecard without bias.

Objective Scorecards

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A realistic financial ecosystem with millions of entities, 1.5B+ transactions, embedded criminal networks, and complex money laundering behaviours. Safe enough to share, realistic enough to trust.

High-Fidelity Synthetic Data

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Extensively used and trusted by tier‑1 banks, global technology and AI companies, leading consultancies, and financial regulators to support a wide range of high-value AML use cases.

Market-Proven

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Performance Baseline

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Run the Syntheticr datasets through your existing AML system to establish a clear, objective view of current performance. You’ll get an objective, quantified scorecard that demonstrates where improvements will have the greatest impact.

The first step for almost every Syntheticr user.

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CUSTOMERS

Trusted by leading organisations

Syntheticr is used by tier-1 banks, technology providers, and regulators to test, train and benchmark AML systems.

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SOLUTIONS

Use cases across the AML lifecycle

System Optimisation

Optimise alert volumes and accuracy before releasing updates and retrain models after release. Create an API-driven feedback loop to help systems learn continuously.

Data Impact Assessment

Quantify the performance impact of data scope or quality changes before investing. Test configurations and prioritise data spend based on measurable results.

System Benchmark

Track performance over time to prove progress and detect drift early. Every Syntheticr assessment is recorded, enabling clear quarterly and longitudinal benchmarking.

Vendor Assessment

Compare AML technologies safely and fairly. Vendors process identical synthetic data and are scored with precise, objective metrics enabling confident and defensible decisions.

Model Development

Used by technology companies and financial institutions to rapidly iterate, accelerate innovation, and prove progress without production data.

How it works

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Choose your plan

Start a free 30-day trial and download the Syntheticr datasets to your environment.

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Detect criminal networks

Process the datasets through an AML system or model to detect the criminal entities

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Get objective feedback

Upload or push your results to get a comprehensive performance scorecard

SUBSCRIPTIONS

Choose the right plan for you

Includes data for one financial institution with risk intelligence, and one basic PDF scorecard per month.

Use cases:

  • Performance baseline

  • Single vendor assessment

  • Test Syntheticr before committing

Best for:

Smaller AML teams, innovation teams, and early evaluations.

Starter

Includes data for two financial institutions, additional AML alerts context, and three detailed PDF scorecards per month.

Use cases:

  • System and model optimisation

  • Data quality impact assessment

  • Multiple vendor comparison

Best for:

AML teams and product organisations making regular changes.

Pro

Includes data for the entire financial ecosystem with API-based workflows and detailed PDF/API scorecards.

Use cases:

  • System and model development

  • System benchmarking

  • Technology evaluations

Best for:

Large AML teams and software/AI companies developing AML capabilities.

Enterprise

Choose a Plan

SOLUTIONS

Industries we support

  • Syntheticr enables the world’s largest financial services companies to manage costs and avoid fines by safely testing, training and benchmarking anti-money laundering systems.

  • Syntheticr helps the world’s largest and most innovative technology companies rapidly develop and demonstrate anti-money laundering software, technology, and use cases.

  • Syntheticr provides large consultancies and financial regulators with the ability to accurately assess, benchmark and enhance anti-money laundering capabilities.

If you need to choose a system, train a model, reduce error rates, or provide objective assurance, Syntheticr can help.

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Experience Syntheticr Today

Start a 30-day trial and get your first performance scorecard for free - no production data required.

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