Model Development
Solution
Build and improve AML models without production data
High-quality training and validation data is the bottleneck for modern AML model building. Syntheticr offers realistic synthetic transaction data with embedded laundering typologies and ground truth - ideal for safe iteration.
How it works
Select a Syntheticr dataset aligned to your needs.
Train or fine-tune detection models using the data.
Validate performance using Syntheticr scoring-as-a-service.
Iterate quickly and track improvements over time.
What you get
High-fidelity training/validation datasets
Use of ground-truth labels for supervised learning
Objective scorecard per experiment
Typology-level diagnostics
Safe mechansim for rapid R&D
Best for
Technology vendors
Data Science/Machine Learning teams
Financial institutions adopting new detection approaches.
Get Started
Begin a free 30-day trial including your first performance scorecard