
Aindo
Aindo provides a certified synthetic data platform that enables healthcare organizations, public authorities, and life sciences teams to share and analyze sensitive patient data without exposing personal information. The platform generates statistically robust synthetic cohorts for real-world evidence generation, clinical trial control arms, and population health planning, while maintaining compliance with GDPR, EHDS, and AI Act regulations. Its technology is architected for Europe's new health data framework, with certifications including Europrivacy and ISO 27001.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Healthcare Technology
- Software Only
Funding
Founders
Product
Problem
Healthcare organizations and public authorities face significant barriers to sharing and analyzing sensitive patient data due to strict privacy regulations like GDPR and the new European Health Data Space (EHDS) framework. Traditional data-sharing approaches risk exposing identifiable personal information, while fragmented datasets across institutions hinder population health planning, research, and evidence generation.
Solution
Aindo provides a synthetic data platform that enables healthcare institutions, public authorities, and life sciences teams to generate high-quality, privacy-preserving synthetic cohorts that mirror real patient populations. The platform allows organizations to share insights and collaborate across regions, hospitals, and research partners without transferring identifiable personal data. Synthetic data can be used for demand forecasting, scenario modeling, performance measurement, observational studies, and real-world evidence generation. The platform also supports the creation of validated synthetic control arms for clinical trials, reducing recruitment needs and operational complexity. Aindo is architected to operate within the EHDS regulatory framework from the ground up, with certifications including Europrivacy, ISO 27001, and NIST cybersecurity standards.
Target Audience
Primary customers include public health authorities, regional health systems, government agencies, hospitals, and life sciences research teams that need to generate evidence from sensitive health data while maintaining regulatory compliance.
Features
- Certified synthetic data generation compliant with GDPR, EHDS Regulation (EU 2025/327), and AI Act, with Europrivacy and ISO 27001 certifications
- Privacy-preserving data sharing across institutions without exposing identifiable personal information
- Analytics-ready synthetic cohorts for population health monitoring, resource allocation, and public policy evaluation
- Synthetic control arm generation for clinical trials to reduce recruitment costs and study timelines
- Interoperability support to combine fragmented datasets from multiple systems into consistent, analytics-ready formats
- Built-in governance, transparency, and audit readiness features for regulatory compliance