Get started with Syntheticr
Select a plan and start a free 30-day trial to get your first AML performance scorecard.
How it works
Sign up
Choose a plan to start a free 30-day trial and gain access to the synthetic datasets.
Detect criminal networks
Process the synthetic datasets through an AML system or model to generate alerts.
Get your scorecard
Upload your alerts to get an objective, quantified performance scorecard.
OPTIONS
How to choose a plan
Choosing the right plan depends on how often you need objective feedback, the size and scope of the data you need to test against, and whether testing is ad‑hoc or embedded into development and governance processes.
Starter is designed for occasional or ad‑hoc testing against a limited data scope — for example, establishing a baseline, validating a single system or vendor, or answering a specific performance question.
Pro is built for teams that test regularly as part of active development, optimisation, or vendor evaluation activities. They need broader data coverage and faster, repeatable feedback to make informed decisions.
Enterprise supports continuous testing at scale, with the widest data coverage and automation. It’s for teams operating formal governance, assurance, or regulatory processes.
SUBSCRIBE
Select a plan to continue
All plans start with a free 30-day trial, which includes synthetic data for a single financial institution and one performance scorecard. After the trial, your subscription continues on the selected plan unless cancelled.
Starter
Baseline Insights
£399 / month (billed annually - save 20%)
£499 / month (billed monthly)
Best for
Smaller AML teams and innovation teams. Designed to continue occasional or ad-hoc testing after an initial baseline assessment.
Use cases:
Performance baseline
Validate an AML system or vendor
Occasional testing as systems change
Included
1 financial institution
Manual results upload
Basic PDF scorecard
1 scorecard per month
72‑hour turnaround
Prefer Monthly billing? Continue with Starter Plan (monthly)
Pro
Continuous Optimisation
£1,599 / month (billed annually - save 20%)
£1,999 / month (billed monthly)
Best for
Teams that need to proactively manage and improve AML performance. Supports regular testing, fast iteration, and confident decisions.
Use cases:
System and model optimisation
Data quality impact assessment
AML system or vendor comparison
Included
2 financial institutions
Manual result upload and API upload
3 scorecards per month
Detailed PDF scorecards
48‑hour turnaround
Configurable data quality
Alert triage data
Prefer Monthly billing? Continue with Pro Plan (monthly)
Enterprise
Automated Assurance
Custom pricing (POA)
Please get in touch to discuss
Best for
Large AML teams, technology providers, and regulators with continuous testing or formal governance requirements.
Use cases:
System and model development
Continuous testing
Formal model risk governance
Included:
6 financial institutions
Manual result upload and API upload
Custom scorecard volumes
Detailed PDF and API scorecards
24‑hour turnaround
Configurable data quality
Alert triage data
Enterprise teams can get started with a standard trial and then upgrade to an Enterprise Plan
COMPARE
Detailed Specification
CUSTOM
Specialised datasets and custom deployments
In addition to standard plans, Syntheticr offers specialised datasets and custom deployments for specific use cases or requirements.
Available to purchase separately for:
Hackathons: Data for short‑term, high‑intensity experimentation
Technology demos: Safe, realistic datasets for showcasing capabilities
Employee training: Hands‑on scenarios with real‑world behaviours
Preconfigured Specialised Datasets
Syntheticr can be adapted or regenerated to meet custom requirements:
Scope/Volume: Transactions, entities, timeframe, jurisdictions
Content: Typologies, methodologies, scenarios
Outputs: Custom scorecards, integrations, assurance outputs
Custom Syntheticr Deployments
Specialist datasets and custom deployments are available separately to the standard plans. Please get in touch to discuss your requirements.