Pioneering Privacy-First Generative AI Applications with Advanced Synthetic Data Solutions

In a significant advancement for privacy-first AI applications, Gretel, a leader in multimodal synthetic data generation, today announces its software is now available on the Microsoft Azure Marketplace. This integration provides a robust cloud data infrastructure for enterprises seeking secure, precise, and timely data to innovate in machine learning and AI, while navigating the complexities of privacy and security. Additionally, Gretel is joining Microsoft for Startups Pegasus Program to facilitate the adoption of responsible AI practices across industries.

Enterprises require abundant sources of secure, precise, and timely data to develop cutting-edge machine learning and AI applications. However, this entails maneuvering through a multitude of privacy and security risks, data access hurdles, and quality evaluations. Today's announcement significantly simplifies this process for enterprises operating within the Microsoft Azure ecosystem. Now, all of Gretel's privacy-enhancing tools and generative AI models are accessible to Azure users, enabling them to create high-fidelity synthetic versions of their sensitive data sets that are statistically accurate, infinitely scalable, and privacy-protected.

How Synthetic Data Empowers Enterprises

High-quality synthetic data generation fosters safe data access, supports collaboration, and drives responsible AI innovation.

• Mitigate privacy and security risks by utilizing synthetic data for testing
• Enrich limited data reservoirs and address dataset biases
• Simulate rare or edge case scenarios that are hard to replicate in real-world settings
• Uphold compliance with global data protection regulations such as GDPR and CCPA
• Support best practices in data governance, ethics, and fairness

Why AI Developers Prefer Gretel

Enterprises, governments, and researchers worldwide are building with Gretel because of its comprehensive and privacy-centric generative AI approach to solving data challenges:

• Multimodal Synthetic Data Generation: Harnessing Large Language Models (LLMs), Generative Adversarial Networks (GANs), and Diffusion Models, Gretel generates synthetic data across a variety of formats including tabular, unstructured, time-series, relational, and image data.
• Tunable Privacy & Utility Controls: Equipped with built-in privacy filters, Gretel’s platform allows for the flexible configuration of privacy-enhancing techniques. This includes one-click outlier and similarity detection, overfitting prevention, and adjustable differential privacy settings.
• Quality Metrics & Analysis Reporting: Gretel incorporates leading Named Entity Recognition (NER) and Natural Language Processing (NLP) tools, enabling users to instantly evaluate the accuracy and metadata quality of their synthetic data. This commitment to quality ensures that the generated data is not only safe to use but also highly effective for AI development.

By providing these advanced capabilities, Gretel Synthetics empowers organizations to navigate the complex landscape of data privacy and utility, fostering responsible AI innovation and secure data collaboration.

Optimizing Public Health with Gretel Synthetics

One sector that is finding enormous value in leveraging synthetic data generation tools is healthcare. A growing body of research is showing how the use of privacy-preserving synthetic data in healthcare ecosystems can unlock safe data access, knowledge sharing, and AI model training that improves patient outcomes and fosters innovation.

“As part of SA Health's commitment to public health innovation, we've embraced synthetic data as a forward-thinking, privacy-conscious approach to safe EMR data sharing for everyday clinical decision making as well as training machine learning models. Our collaboration with Gretel has been vital in this effort. With our ecosystem-wide Gretel integration in our secure Azure environment, this advancement in our work is more than a technological leap; it symbolizes a fundamental shift in how we manage and use health data, significantly improving care for our patients with a focus on inclusivity and privacy protection.” — Rhys Parker, Chief Clinical Information Officer, SA Health

“We’re thrilled to bring our privacy-preserving AI models to the Azure community, and honored to be part of the Microsoft for Startups Pegasus Program," said Ali Golshan, Cofounder and CEO of Gretel. “Organizations are looking to transform their existing data into a differentiator, and this data needs to be AI-ready- safe and high-quality, especially as the journey towards embedding LLMs into services accelerates. Access to quality data and differentiated data will be essential for continued growth. That’s where Gretel provides enormous value.”

“Through Microsoft Azure Marketplace, customers around the world can easily find, buy, and deploy partner solutions they can trust, all certified and optimized to run on Azure,” said Jake Zborowski, General Manager, Microsoft Azure Platform at Microsoft Corp. “We’re happy to welcome Gretel’s solutions to the growing Azure Marketplace ecosystem.”

Azure customers can use their existing Azure credits and commitments to build with Gretel. To learn more about these products, services, and solutions available check out Gretel on the Azure Marketplace.

About Gretel

Gretel is a multimodal synthetic data platform for enterprise developers, fueled by advanced generative AI models and privacy-enhancing technologies. Users can generate a diverse array of synthetic data types, including text, relational tables, time series, and images. With customizable privacy and accuracy settings, Gretel empowers users to create secure, statistically accurate replicas of sensitive data, ideal for safe model training and data sharing. The platform also facilitates on-demand data generation to enrich limited machine learning training datasets. Serving a wide range of clients—from top financial institutions, healthcare and life sciences companies, to government and public sector organizations, as well as leading tech brands and startups—Gretel adheres to key privacy regulations such as GDPR, CCPA, and HIPAA. It's the go-to solution for organizations seeking fast, secure, data-driven decision-making, and responsible AI development. Learn more at https://gretel.ai/.

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