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Aetion has entered into an agreement to be acquired by Datavant, a leading health data platform company.   Learn more → 

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AETION® SCIENCE AND RESEARCH

Privacy and Synthetic Data Services

Purpose-built solutions to secure, scale, and strengthen data utility

Assess, synthesize, and get more from your real-world and clinical data

Healthcare and life sciences organizations face mounting pressure to deliver timely, representative real-world evidence (RWE). Data privacy regulations, cross-border restrictions, and gaps in real-world data (RWD) continue to slow progress.

Aetion’s synthetic data and privacy solutions help teams work with sensitive data securely, simplify global compliance, and fill critical data gaps—accelerating high-quality, privacy-first evidence generation.

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POWERED BY AETION® GENERATE

Assess and support data privacy

Protect patient privacy, preserve data utility, and quantify re-identification risk with precision
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De-identification 

Aetion applies expert determination methodologies to de-identify datasets in line with HIPAA and global privacy standards—enabling compliant, privacy-preserved data use at scale.

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Risk Assessment

Our risk assessment services evaluate data sharing scenarios using advanced statistical models—empowering confident decisions across jurisdictions and use cases.

Synthetic data services

Work with Aetion experts to apply synthetic data generation as a strategic solution to your RWD challenges. Generate statistically accurate, privacy-preserved datasets that unlock secure data sharing, expand research opportunities, and improve evidence quality.

synthetic data
Accelerate testing and development
 Generate synthetic data to safely test software, validate models, and train AI systems without exposing real patient data.
Augment and expand datasets


Synthesize data from RWD, RCTs, and other sources to bolster completeness, improve cohort size, and facilitate predictive modeling.

Improve representation and reduce bias
 Identify gaps or imbalances in your data and simulate underrepresented populations to enhance inclusivity and generalizability.
Enable secure and compliant data sharing
 Facilitate cross-border collaboration and secondary data use while preserving privacy and analytical integrity.
Model unobserved outcomes and scenarios
 Predict clinical outcomes or simulate missing data where real-world inputs are limited or unavailable.
Rescue poorly accruing trials Generate synthetic patient on trials that struggle to meet recruitment targets to recover effect estimates and prioritize clinical development programs.
Quotes Green

“Synthetic clinical trial data generated by Aetion is being used across multiple  business lines, such as data science and statistical programming. This has allowed easy and broader access to data for our internal teams and partners, and enables us to accelerate our innovation agenda.”


Head of Data Transparency, Top 20 Biopharma Company

Experts in providing real-world evidence solutions

Connect with us to work with the team advancing critical decisions in healthcare.