Top 50 Synthetic Data Software SaaS Companies in May 2026

San Francisco, California, United States

Neosync is an open-source anonymization and synthetic data platform.

United States

Statice has joined Anonos! We commercialize data anonymization solutions, enabling companies to derive value from sensitive data while minimizing privacy risks. With Statice, companies remove existing barriers to data usage and safeguard their customer privacy by generating privacy-preserving synthetic data, which is compliant for sharing and processing. In October 2022, Statice and Anonos joined forces. The combined organization has grown to 70 employees working globally to provide a comprehensive data privacy and security platform that eliminates the trade-off between data protection and utility. More information: https://www.anonos.com/anonos-acquires-award-winning-synthetic-data-company-statice Imprint: https://www.statice.ai/legal/imprint Terms of use: https://www.statice.ai/legal/terms Data Privacy Policy: https://www.statice.ai/legal/privacy-policy

Garbsen, Lower Saxony, Germany

Enhanced industrial machine vision powered by synthetic data.

San Francisco, California, United States

Syntegra is unlocking the promise of real-world evidence by employing a groundbreaking machine learning model — the Syntegra Medical Mind — to enable low-burden access to privacy-preserved and equitable synthetic health data, increasing the value of data for those who have it and providing access for those who need it. Synthetic data matches the statistical accuracy of the underlying data without linking to any actual patients, fully protecting patient privacy. Syntegra’s ever-growing model is built from the statistical patterns of structured healthcare data to serve the diverse needs of our customers, including health systems, life sciences, health tech, payers and clinical research organizations. Gain immediate access to patient-level data via our Synthetic Data API today. Users can leverage our data to accelerate data science and analytics, build predictive models, generate synthetic control groups for clinical trials and so much more. Syntegra is backed by well-established investment firms, including Sweat Equity Ventures, Hike Ventures, Impact Venture Capital, Village Global, Wisconn Valley Ventures and Innovation Global Capital.

Greenwood Village, Colorado, United States

We develop technologies to capture, harmonize, and share data. Our interoperability solutions help organizations make sense of data they collect from multiple sources with different standards and conventions, and to build data sets for AI/analytics applications. Our privacy solutions enable data exchange between organizations while respecting individuals’ privacy choices.

Munich, Germany

Fueling AI in healthcare with diverse synthetic data.

United States

📢 You need easy and secure access to data to drive AI innovation, product development and growth. However, real-world data is either not accessible, not available or not really usable. 🚨 Regulations around compliance, security, privacy, trust and ethics hinder access to enough valuable data for AI collaboration at scale. 💡 The solution to that is safe synthetic data. Synthetic data is AI-generated and proxies the real-world data while preserving utility and privacy. In a nutshell: real-world data is collected, synthetic data is created. ✅ Syntheticus® empowers organizations (B2B) and governments (B2G) to enable the full potential of AI with safe synthetic data. 💻 Syntheticus' flagship products leverage advanced Privacy-Enhancing Technologies (Generative AI, Differential Privacy and Confidential Computing), orchestrate cross-modal data, provide seamless integrations with existing systems and maintain strong enterprise-grade data protection through a versatile/modular platform solution. 🚀 Fortune500 enterprises, governmental entities and leading scale-up organisations around the world trust Syntheticus to push the boundaries. 🧑🏽‍🤝‍🧑🏽 Syntheticus was founded in 2021 by a team of serial entrepreneurs from world-class academia with proven GenAI domain knowledge. 🎖Trusted by Google, Microsoft, Nvidia, ETH AI Center and IMD. Backed by the prestigious Hammerteam VC and Constructor Group.

San Francisco, California, United States

Simple platform to create data for AI

Tübingen, Baden-Württemberg, Germany

We enable businesses to harness AI for structured data with specialized, lightweight models that run on edge, ensuring privacy-first AI solutions. What We Do: Specialized AI Models: Lightweight, on edge, and privacy-first—optimized for efficiency. Synthetic Data Generation: Train on synthetic data from Mistral...

New York, New York, United States

Better data, better outcomes - Encrypted learning lets you work with protected data without decrypting it.