Case studies

Real teams. Synthetic data. Big leverage.

How AI teams in regulated industries ship faster without ever moving a real record.

Healthcare

Atlas Health

10 hospitals, one synthetic patient registry, zero PHI on the move.

Atlas Health stitched their 10-hospital admission data into a single research-grade doppel — and gave 80+ external researchers safe access in 14 days.

80%

faster cohort approvals

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Banking

Norden Bank

A fraud model that was trained without one real customer.

Norden's fraud team replaced production card data with a Doppelset twin. Vendors, regulators and analysts now share one dataset.

10×

faster vendor onboarding

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Telecom

Pulse Telecom

Churn modelling at the speed of product, not the speed of legal.

Pulse moved their churn ML pipeline onto synthetic data. Experiments per quarter went from 6 to 41.

6.8×

more experiments per quarter

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Retail & e-commerce

Lattice Retail

A/B testing customer journeys on a population that never existed.

Lattice generates 14 million synthetic sessions a week to test recommender variants — without sharing one real session.

+18%

uplift on validated recos

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The numbers, summed

What we've seen across 200+ deployments

Pulled from anonymous customer telemetry. Median, not best-case.

12 min

Median from schema to first sample

99.2%

Median statistical fidelity

10⁻⁶

Median re-identification risk

−71%

Reduction in real-data access tickets

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