Pharma & CROs 
Privacy-safe synthetic data that accelerates evidence generation.
 
  
 
 
 
Aindo enables pharmaceutical companies, CROs, and research organizations to generate high-quality Real-World Evidence while maintaining full compliance with data protection and regulatory requirements.
 
Whether you're developing new therapies, validating treatment effectiveness, or accelerating time to market, we help you work faster, safer, and with greater confidence.
 
 
 
 
With Aindo's AI evidence infrastructure, you can:
  
 
Generate privacy-safe RWE datasets
Transform sensitive real-world data into statistically representative synthetic datasets that preserve analytical value while removing re-identification risks.
Accelerate evidence generation
Bypass lengthy data access approvals, contractual bottlenecks, and complex data-sharing agreements to start analysis in days, not months.
Enable multi-site and cross-border collaboration
Share and combine datasets across partners, institutions, and geographies without transferring personal data.
Improve data coverage and representativeness
Augment sparse or biased datasets to better capture rare conditions, underrepresented populations, and real-world variability.
 
 
 
 
 
Built for Europe's advanced healthcare regulations.
 
Designed for the new European health data framework and certified for data processing in healthcare.
Europrivacy
Europrivacy
Art 42 GDPR
ISO 9001 Quality
ISO 9001
Quality
ISO 27001 Information security
ISO 27001
Information security
Gender Equality
Gender Equality
UNI PDR 125:2022
NIST Cybersecurity Framework
NIST
Cybersecurity & privacy
 
 
 
 
 
 
 
 
 
Built for teams driving pharma evidence
 
Designed for RWE, clinical development, HEOR, market access, and medical affairs teams.
 
 
 
 
 
 
 
     
  • RWE & HEOR teams
    Run comparative analyses, outcomes research, and population-level studies without access delays.
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  • Pharma & CRO clinical teams
    Assess feasibility, reduce recruitment risk, and accelerate study design decisions.
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  • Medical affairs & safety
    Explore post-market signals, safety trends, and subgroup insights while remaining compliant.
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From raw data to evidence-ready cohorts
 Talk to our experts 
 
 
 
 Ingest and harmonize healthcare data 
 
  
 Ingest and harmonize healthcare data 
 
 Clinical data are ingested and mapped to a standardized structure. 
 
 
 
 
 
 
 Generate and validate synthetic cohorts 
 
  
 Generate and validate synthetic cohorts 
 
 Synthetic data are generated and validated for utility, bias, and privacy. 
 
 
 
 
 
 
 Deliver compliant, analysis-ready datasets 
 
  
 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.
Andrew C. Davis, MD, MPH
Andrew C. Davis, MD, MPHClinical Professor, UChicago Medicine (USA)
Synthetic control arms reduce trial costs and improve patient recruitment by minimizing the need for placebo groups.
Michael H. Tardugno, MD
Michael H. Tardugno, MDExecutive Chairman, Imunon Inc
Synthetic data represent a new informational infrastructure for healthcare systems, enabling better planning, evaluation and governance.
Giorgio Lorenzo Colombo
Giorgio Lorenzo ColomboProfessor of Health Economics, University of Pavia
Synthetic data accelerate researchers' access to health data, facilitating the generation of clinical evidence.
Aldren Gonzales, PhD
Aldren Gonzales, PhDU.S. Dept. of Health and Human Services
 
 
 
Build the future of medical intelligence
Accelerate research and enable safe, compliant clinical AI.
Contact us