Synthetic data to improve planning, governance, and public decision-making.
Aindo helps public authorities, regional healthcare organizations, and government agencies use data responsibly to improve planning, policy, and population health.
Whether you are planning healthcare capacity, assessing policy impact, or coordinating across institutions, Aindo turns fragmented data into actionable insights.
How synthetic data supports decision-making
Built for Europe's advanced healthcare regulations.
Designed for the new European health data framework and certified for data processing in healthcare.
Europrivacy
Art 42 GDPR
ISO 9001
Quality
ISO 27001
Information security
Gender Equality
UNI PDR 125:2022
NIST
Cybersecurity & privacy
How to use our synthetic data
Population health analytics
Capacity planning
Policy simulation
Cross-regional collaboration
Public health surveillance
Digital health innovation in public health
From raw data to policy-ready datasets
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Ingest and harmonize healthcare data
Clinical data are ingested and mapped to a standardized structure.
Generate and validate synthetic cohorts
Synthetic data are generated and validated for utility, bias, and privacy.
Deliver compliant, analysis-ready datasets
Teams receive cohorts ready for analysis, sharing, and iteration.
Synthetic data enable the formulation of clinical hypotheses in real time, allowing rapid exploration of data.
Synthetic control arms reduce trial costs and improve patient recruitment by minimizing the need for placebo groups.
Synthetic data represent a new informational infrastructure for healthcare systems, enabling better planning, evaluation and governance.
Synthetic data accelerate researchers' access to health data, facilitating the generation of clinical evidence.
