About Synthetica

Synthetica is building the infrastructure for research-grade synthetic data generation, grounded in peer-reviewed scientific literature.

Our Mission

We believe that access to high-quality, realistic data should not be a barrier to innovation. Our mission is to democratize synthetic data generation by making it accessible, accurate, and traceable to real scientific research.

The Problem

Researchers, developers, and organizations often struggle to access realistic datasets for testing, development, and training machine learning models. Real data is often sensitive, expensive, or simply unavailable. Existing synthetic data solutions lack the statistical rigor and traceability that serious research demands.

Our Solution

Synthetica automatically searches peer-reviewed literature to extract real statistical distributions, correlations, and constraints. We then use these parameters to generate synthetic data that is statistically accurate and fully traceable to its sources.

Our Values

• Scientific Rigor: Every parameter is traceable to peer-reviewed research.
• Transparency: Full provenance tracking for every dataset.
• Accessibility: Making research-grade data available to everyone.
• Privacy: Synthetic data that protects real individuals.