Use Cases
Get the most from Syntheticr
USE CASES
Choose your goal
Syntheticr supports continuous improvement and optimisation of AML performance - from establishing a baseline, to objectively comparing technologies, and developing new models.
Select a use case below to see the typical workflow, and the outputs you’ll receive:
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 an objective, quantified scorecard that demonstrates where improvements will have the greatest impact.
Vendor Assessment
When evaluating new AML technologies, Syntheticr lets you compare options safely and fairly. Vendors run the same synthetic scenarios, and Syntheticr scores the outputs with precise performance metrics. It’s a fast, controlled way to make high-stakes vendor decisions with confidence.
Model Development
Syntheticr provides realistic, risk-free data for building and improving models. Vendors use it as a core development asset, and financial institutions use it to accelerate in-house innovation. Scoring-as-a-service, let teams rapidly iterate and prove progress without production data.
System Optimisation
Optimise alert volumes and accuracy before releasing updates, then retrain models after release. With Syntheticr you can create an automated feedback loop via API to help your system learn safely and continuously.
Data Impact Assessment
Quantify the impact of changes to data scope/quality before you invest. Syntheticr lets you test data configurations and measure how the performance impact, so you can prioritise and right-size data improvement spend.
System Benchmark
Track performance trends over time to prove progress and spot drift early. Every Syntheticr assessment is recorded, and you receive clear benchmarking on quarterly improvements.
Peer Benchmark
Understand how you perform relative to anonymised peers. Syntheticr provides a dedicated and controlled benchmark dataset and scores your outputs against a cohort of your peers.
Hackathons
Give teams safe data with embedded typologies and ground truth feedback loops to rapidly test innovative financial crime technology concepts. Syntheticr has proven its value across multiple regulatory TechSprints and hackathon environments.
Technology Demos
Use Syntheticr to demonstrate detection workflows, network visualisation, and model behaviour with credible synthetic scenarios. Ideal for internal stakeholders or customer demos.
Employee Training
Train analysts and investigators on real-world laundering typologies using realistic synthetic data with known outcomes. Build confidence in alert handling, transaction analysis, and SAR writing.
Volumetric Testing
Safely simulate realistic transaction and alert volumes to test how your AML system behaves under scale without using production data.
Not sure where to begin?
Start a 30-day trial to get a free Performance Baseline and we’ll guide you to the highest impact use cases.