Thisgen provides an AI platform that automatically generates synthetic data—text, images, audio, video, and tabular—by training generative models on a small sample of real data. The service removes PII, ensures GDPR/CCPA compliance, and offers validation dashboards, APIs, and SDKs for seamless integration into machine‑learning pipelines.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations need to automate the generation of synthetic data for AI model training, but creating realistic, privacy‑preserving datasets manually is time‑consuming and requires specialized expertise.
Solution
Thisgen offers an AI‑driven platform that automatically creates high‑quality synthetic data across various domains, such as text, images, and tabular records. Users upload a small sample of real data, and the system trains generative models to produce large, statistically similar datasets while removing personally identifiable information. The platform provides tools for data validation, bias detection, and compliance reporting, ensuring the synthetic output meets regulatory standards. Integration options include APIs, SDKs, and direct export to common data pipelines, enabling seamless incorporation into existing machine‑learning workflows.
Target Audience
Primary customers are data science teams, AI product developers, and enterprises that require large, privacy‑safe training datasets for machine‑learning models.
Features
- Automated model training on user‑provided seed data to generate realistic synthetic datasets
- Support for multiple data types: text, images, audio, video, and structured tables
- Built‑in privacy controls that eliminate PII and enforce GDPR/CCPA compliance
- Data quality dashboards with statistical similarity metrics and bias monitoring
- RESTful API and SDKs for programmatic access and integration with ML pipelines
- Scalable cloud infrastructure that handles on‑demand generation of large volumes of data