Aetion Generate
De-identification, synthetic data generation, and data augmentation for privacy-compliant real-world data sharing and research.
Overview
Aetion® Generate is an AI-driven software tool designed to safeguard privacy while preserving the utility of sensitive real-world data. Built for data providers, security teams, and R&D teams in the life sciences and healthcare space, Generate offers advanced capabilities for de-identification, synthetic data generation, and virtual patient modeling—enabling organizations to protect patient privacy, meet regulatory requirements, and unlock the full value of their data for modern evidence generation.
Generate provides modular tools that help organizations measure and resolve re-identification risks, train models to produce realistic synthetic records, and augment datasets to address bias, imbalance, and volume limitations. Whether the goal is enabling secure data sharing, accelerating research insights, or supporting health equity initiatives, Aetion Generate is built to support compliant and collaborative real-world data workflows.
Core Modules
- Protect speeds up compliance with global privacy standards by automating privacy risk assessments and applying statistically defensible de-identification techniques. Key capabilities include audit-ready outputs, jurisdiction-specific compliance, privacy-preserving data transformation, and scalable deployment.
- Replicate enables secure data sharing and faster exploration by generating synthetic data that mimics real-world patterns without exposing actual patient records. Features include built-in privacy protection, trial simulation and scenario analysis, and faster time-to-insight.
- Enhance improves the representativeness of real-world data for research, regulatory, and health equity initiatives through generative modeling that simulates patient populations. Capabilities include data augmentation, modeling for data-limited populations, and preserved analytical integrity.
Who Generate Is For
- Data providers benefit from scalable data de-identification to meet privacy regulatory requirements for data sharing.
- Security teams can leverage safe synthetic data generation to share data internally and externally for testing, development, and innovation.
- R&D teams can use data augmentation to accelerate insights by addressing bias and modeling virtual patients.
Ways of Working with Aetion Generate
- Cloud or on-premise deployment with cost-effective auto-scaling capabilities to suit organizational infrastructure needs.
- Three access options including a User Interface, a Python Software Development Kit (SDK), and APIs, providing flexibility for technical and non-technical users alike.
- White-gloved services available through Aetion's team of expert scientists to support modern evidence generation workflows.
Aetion Generate is part of the broader Aetion software suite, which also includes Discover, Activate, and Substantiate. The platform supports both cloud and on-premise deployments and is designed to integrate into existing data ecosystems. Aetion, now part of Datavant following a completed acquisition, brings deep expertise in real-world evidence solutions to help organizations advance critical decisions in healthcare.
