Roles

The right solutions for every team

ROLES

Built for you

Different teams have different responsibilities - from baselining performance, to building new models, or selecting technologies. Syntheticr provides realistic synthetic transaction data and scoring-as-a-service so every team can test, validate, and optimise what they’re doing.

Transaction Monitoring and AML Operations

Reduce noise and right-size alert volumes.

Test end-to-end monitoring workflows, tune thresholds pre-release, and validate that accuracy holds when things change.

Common Goals

  • Volumetric testing

  • System optimisation

  • Regression testing

  • Operational readiness

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Data Science/ML Teams

Build and validate models faster.

Use synthetic transactions with embedded typologies to develop new detection models, validate uplift, and test AI-generated recommendations safely.

Common Goals

  • Model development

  • Typology diagnostics

  • Regression testing

  • AI validation

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Vendor Management and Procurement

Compare vendors fairly and quantify ROI.

Give every vendor the same labelled synthetic scenarios and receive objective side-by-side scorecards before you commit budget.

Common Goals

  • Vendor assessment

  • Comparative scorecards

  • ROI modelling

  • Proof-of-value

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Financial Crime Leadership

Set strategy with evidence, not assumptions.

Syntheticr gives leaders objective baselines, benchmarking over time, and clear ROI inputs for data, model, and vendor investments.

Common Goals

  • Baseline accuracy

  • Benchmark progress

  • Peer comparison

  • Investment cases

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FIU and Financial Crime Investigations

Train and investigate with safe, realistic crime scenarios.

Syntheticr’s embedded criminal networks and typologies support free-form investigation practice, complex case exploration, and analyst training, with known outcomes.

Common Goals

  • Investigator training

  • Typology deep dives

  • Case simulation

  • Network explorations

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Model Risk and Governance

Independent evidence for every change.

Ground-truth scoring and comparative reports make model validation repeatable, audit-friendly, and safe from production-data constraints.

Common Goals

  • Baseline validation

  • Change approval evidence

  • Drift tracking

  • Governance reporting

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GET STARTED

Where most teams start

Most teams begin with a Performance Baseline and then move on to:

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.

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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.

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System Optimisation

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Optimise alert volumes and accuracy before releasing updates, then retrain models after release without risking production performance. Syntheticr scores results against ground truth and, via API, can create a safe feedback loop to tune thresholds and models while avoiding alert spikes or drift.

Get hands-on with Syntheticr

Start a free 30-day trial to get your first performance baseline

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