Consulting and Advisory

Industry Solution

SOLUTION

Your work is strongest when backed by evidence.

Syntheticr supports a range of use cases for financial crime consultancies, advisory teams, audit firms, and system integrators supporting regulated clients, whether you’re diagnosing control gaps, recommending vendors, or validating remediation.

Syntheticr gives you a risk-free way to:

Establish independent baselines for client AML effectiveness
Run defensible vendor evaluations and model validations
Quantify impact of proposed changes before implementation

This makes recommendations more credible, delivery more efficient, and outcomes easier to defend to clients and regulators

How it works

Syntheticr provides high-fidelity synthetic transaction data generated from a simulation of legitimate activity and embedded money laundering networks. You run it through your stack as if it were production, and Syntheticr provides an objective score of the output.

Ready-to-use

Realistic data covering all major transaction types and aligned to ISO20022 standards
Embedded network typologies and AML methodologies reflecting real-world behaviour
Objective scorecards to quantify accuracy and false positives
A 6-month greenfield period for unbiased model training

Get started

Choose a subscription plan aligned to your needs
Download the synthetic datasets to your or your client’s environment
Process the datasets through the AML system to generate alerts
Upload the alerts for review
Receive your performance scorecard

What you get

Synthetic datasets including entity profiles, transactions, and risk intelligence
Objective performance scorecards
Comparative reports across time, systems and versions
Optional:
- Low-volume labelled subsets for training
- Custom versions with variable data quality
- Multi-bank datasets