Aggregation
Privacy
Combines records into summaries. Small groups can still carry disclosure risk.
Utility
Useful for totals and trends; removes individual records and patient journeys.
HEALTHCARE DATA. NEW POSSIBILITIES.
Your data
never leaves.
Its value does, now.
Enable research and AI without sharing patient records.
INSIDE YOUR ENVIRONMENT
Real patterns.
New possibilities.
Patient records
Remain with you
Synthetic cohorts
Artificial Data
Evidence included. You approve each release.
Healthcare only, by designOn-premises. Air-gapped.
THE CHALLENGE
Health data is available.
Timely access is not.
Privacy reviews and data-sharing agreements can delay research and AI projects. Synthadata creates synthetic datasets that teams can use while institutions keep control of their patient records.
THE SOLUTION
Synthetic patient data.
Generated inside your own environment.
What is synthetic data?
Synthetic data is artificial information generated by machine learning models that learn the underlying statistical rules, correlations and probability distributions of a real dataset. They then produce brand-new data points that behave the same on the defined analyses, without containing any original records.
METHOD PROFILES
Other methods vs synthetic data
Illustrative profiles, not measured scores. Synthadata measures privacy and utility for every release.
Masking
Privacy
Replaces identifiers. Other combinations of attributes may still identify people.
Utility
Retains much of the original detail, alongside its residual privacy risk.
De-identification
Privacy
Removes or generalises identifying details to reduce disclosure risk.
Utility
Can reduce clinical detail, especially for rare cohorts and unusual values.
Synthetic data
Privacy
Generates new records rather than masking existing ones. Privacy is tested for each release.
Utility
Retains statistical patterns and relationships, with usefulness validated for the intended analysis.
PRODUCT CAPABILITIES
Clinical depth.
Evidence at every step.
Causal Synthesis Engine
Generates synthetic patient data that preserves treatment–outcome relationships, including patient journeys over time.
Causal Validity Suite
Compares treatment selection, treatment effects and outcome patterns between the source and synthetic data.
Regional Fairness Module
Auto-detects the region’s sensitive attributes and trains generation to remain insensitive to them.
Clinical Coherence Engine
Checks that each synthetic patient record is clinically consistent across diagnoses, medications and treatment pathways.
Release Evidence Report
Documents quality and privacy results for every dataset, giving your teams the evidence to review and approve its use.
MEASURED, NOT ASSERTED
Every release.
Evidence included.
Each dataset comes with a Release Evidence Report covering quality, usefulness and privacy.
The gate stays with your officers.
Fidelity
Do patterns and relationships match the source?
Utility
Does the data support the intended analysis?
Privacy
What do disclosure tests and near-match checks show?
Integrity
Are clinical fields and event sequences consistent?
Privacy and analytical suitability require assessment for each use. Institutional approval governs release.
WHO IT IS FOR
For the teams
advancing healthcare.
Healthcare providers
- Unlock data for research and AI development
- Explore care pathways to support better patient care
- Improve operational efficiency through capacity planning
Researchers and universities
- Explore patient cohorts and test hypotheses
- Refine study methods and enable collaboration
- Train researchers using realistic synthetic health data
Pharma and CROs
- Assess trial feasibility and refine eligibility criteria
- Explore recruitment scenarios
- Compare treatment outcomes in synthetic cohorts reflecting regional populations
Health Regulator / Government
- Inform policy through outcomes and cost analysis
- Evaluate AI solutions and guide procurement
- Strengthen workforce capabilities using realistic synthetic health data
Contact us
For enquiries, partnerships or to discuss your requirements, get in touch.