Find your perfect solution
Safely test, train, and benchmark systems using high-fidelity synthetic data and objective scorecards
Market-proven across technology, banking, and consulting
Syntheticr simulates realistic financial behaviour - including hidden money-laundering networks - to produce safe, high-fidelity synthetic transaction data. The 24-month simulation includes 1 million entities and 1.5 billion transactions, giving you a reliable foundation for objective performance benchmarking, vendor testing, and model development, and more…
DISCOVER
Use Case / Role / Industry
Role
From strategy for AML executives, to model validation for data scientists, Syntheticr supports the objectives that matter to your role. Explore tailored datasets, workflows, and scorecards that help you safely and quickly prove what works.
Industry
Whether you’re processing payments, building AML solutions, or advising clients on AML optimisation, Syntheticr adapts to your context. Explore industry-specific data, workflows, and scorecards to objectively validate performance.
Use Case
Syntheticr provides realistic synthetic transaction data and scoring-as-a-service for model development, testing and regression, system and vendor benchmarking, AI-recommendation validation, and team training.
GET STARTED
Performance Baseline
For almost every Syntheticr user, this is the first step. Run Syntheticr through your existing AML system to establish a clear, objective view of current performance. You’ll get a ground-truth scorecard that quantifies accuracy and highlights where improvements will have the greatest impact.
Model Development
Syntheticr provides realistic, risk-free data for building and improving detection models. Vendors use it as a core development asset, and financial institutions use it to accelerate in-house innovation. Embedded typologies and scoring-as-a-service, let teams rapidly iterate and prove progress without production data.
Vendor Assessment
When evaluating new AML technologies, Syntheticr lets you compare options safely and fairly. Vendors run the same labelled synthetic scenarios, and Syntheticr scores the outputs to show precise uplift, false-positive impact, and ROI. It’s a fast, controlled way to make high-stakes vendor decisions with confidence.
See Syntheticr in action
Start a free 30-day trial and test your AML systems with our synthetic data and performance scorecards.