Syntheticus offers a GenAI-powered platform that creates high‑quality, statistically representative synthetic data at scale, fully anonymized to meet GDPR, EU AI Act, and other privacy regulations. The solution enables enterprises to train AI/LLM models, test software, and run analytics without the storage costs, bias risks, or compliance burdens of real‑world data.
Funding
$520K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Accessing large volumes of real-world data for AI and software development is costly, complex, and constrained by privacy regulations, bias concerns, and storage challenges.
Solution
Syntheticus provides a GenAI-powered platform that generates high-quality, statistically representative synthetic data at scale. The synthetic data is fully anonymized, eliminating privacy risks and compliance burdens while preserving the utility needed for AI model training, testing, and analytics. By automating data generation, the platform reduces storage costs and mitigates bias, enabling organizations to accelerate product development and innovation. The Syntheticus Suite combines a core generation engine with functional modules tailored for AI/LLM training, software testing, and business intelligence, delivering a flexible, end-to-end solution for data-driven initiatives.
Target Audience
Primary customers are enterprises and development teams that need large, compliant datasets for AI model training, software testing, and analytics, including data scientists, ML engineers, and QA organizations.
Features
- GenAI-driven synthetic data generation that produces realistic, diverse datasets matching the statistical properties of source data
- Built-in compliance controls to ensure GDPR, EU AI Act, and other regulatory requirements are met
- Bias mitigation mechanisms that enhance data fairness across generated samples
- Scalable cloud-native architecture for on-demand data volume scaling without additional storage overhead
- Modular ecosystem offering specialized tools for AI/LLM training, software testing, and analytics/BI workloads
- Secure data handling with encryption in transit and at rest, supporting on-premises, cloud, and edge deployments