Exhibitor

CUBIG

5A33F

Cubig enables organizations to use sensitive data safely and confidently in the AI era. By transforming real data into secure, high-fidelity synthetic data, we help financial and public institutions overcome privacy, regulatory, and data-sharing barriers. Our technology not only ensures compliance but also enhances data diversity—allowing augmentation of imbalanced classes for more accurate AI models. With Cubig, organizations can unlock the full potential of data without risk, advancing innovation while keeping every layer of privacy intact.

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Products and Services

Products and Services Description
SynTitan

SynTitan is a collaborative intelligence platform that empowers organizations to analyze, simulate, and share insights using synthetic data instead of sensitive originals. It provides a secure workspace where teams across departments—or even across institutions—can run large-scale analyses and scenario simulations without privacy risks. By combining private data generation, validation, and visualization in one unified environment, SynTitan enables safe collaboration and smarter decision-making.

LLM Capsule

LLM Capsule is AI security gateway that enables the safe use of public large language models like GPT within regulated environments. Installed locally, it encapsulates sensitive information before any query is sent out, ensuring that no personal or corporate data ever leaves the organization. With LLM Capsule, enterprises can leverage the power of generative AI—securely, compliantly, and without compromise.

DTS (Data Transform System)

DTS is a private synthetic data generation engine without accessing the original. Built on a differential privacy–based architecture, DTS reproduces the statistical and structural patterns of real datasets while ensuring complete protection of personal and sensitive information. It supports multimodal data types and enables augmentation for imbalanced or scarce classes. With DTS, organizations can safely expand, share, and analyze data, achieving both privacy and performance without compromise.

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