Fairgen is a generative AI platform built for research and analytics teams. It creates synthetic samples to improve the accuracy and depth of datasets, especially for surveys and large-scale research where real data may be limited or unreliable.
What it does
Fairgen focuses on generating and validating synthetic data using its FairBoost and FairCheck modules. These tools help adjust and enrich survey samples, reducing the need for manual data cleaning and processing.
- Generate synthetic samples to fill gaps in survey or research datasets
- Validate synthetic outputs to support data quality checks
- Automate parts of data collection and analysis workflows
Implementation notes
You can upload survey data or connect via API. The system analyzes the dataset, generates a synthetic sample, and validates the result. Reports can be downloaded or integrated into analytics platforms.
- API connection or file upload for input data
- Downloadable reports and options for integration
- Some features (including FairCheck) are available in beta
Fairgen is best for teams with basic familiarity with AI and synthetic data. It may not fit users who need a plug-and-play integration with any external platform or a fully finished workflow without testing beta features.
