CUBIG provides an enterprise platform for generating, integrating, and analyzing AI-ready synthetic data across multimodal formats like text, image, and tabular data. The platform utilizes differential privacy to ensure zero raw data exposure, offering compliance and risk-free use for sensitive datasets. This enables organizations to unlock inaccessible data for richer, compliant analysis and collaboration across various industries.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face challenges in leveraging sensitive data for analytics, model training, and sharing due to privacy regulations and the risk of exposing proprietary information. Traditional data anonymization methods can degrade data utility, limiting the effectiveness of downstream applications.
Solution
CUBIG provides a multimodal and domainless synthetic data platform that generates high-fidelity synthetic datasets while ensuring differential privacy. This platform enables organizations to safely create, integrate, and analyze data without any risk of original data exposure. It supports the entire data lifecycle, from generation to activation, across all data types and industries. The synthetic data generated mirrors the performance, distribution, and patterns of the original data, achieving up to 99% of its utility. This allows for risk-free data sharing, commercialization, and deeper analytical insights.
Target Audience
The platform serves enterprises across finance, marketing, healthcare, defense, and other sectors that require secure data utilization for analytics, AI model development, and data sharing initiatives.
Features
- **Multimodal Synthetic Data Generation:** Capable of generating synthetic data across various formats including image, text, tabular, and time series.
- **Domainless Architecture:** Applicable across all industries without requiring domain-specific configurations.
- **Differential Privacy Implementation:** Guarantees a quantifiable level of privacy protection, ensuring 100% original data protection and compliance with regulations like GDPR, HIPAA, and CCPA.
- **High Data Utility:** Synthetic datasets retain up to 99% of the performance and statistical properties of the original data.
- **End-to-End Data Lifecycle Management:** The platform supports data generation, validation, integration, and activation within a unified environment.
- **Zero Raw Data Access:** Synthetic data is generated without direct access to the original source data, mitigating security risks.
- **X-PERT Analytics Module:** Enables simulation, analysis, and strategy guidance even with incomplete or chaotic datasets.
- **DTS (Data Transformation Service):** Transforms inaccessible data into secure, shareable synthetic data.
- **SynFlow:** Facilitates seamless data integration between enterprises using advanced synthetic data technology.
- **azoo Data Marketplace:** A platform for securely trading, integrating, analyzing, and validating data.