On Premise
Synthetic Data for enterprise

Synthetic data for testing, RD, training, modeling, and enterprise data sharing

Product

Data You Can Share

01. Near Real

Experience synthetic data that mirrors the complexity and characteristics of real-world data. With our realistic synthetic data, you can confidently train models, validate algorithms, and conduct robust simulations.

02. Diverse

Embrace the richness of diverse synthetic data to enhance your data-driven initiatives. We can deliver both structured tabular data or images, videos.

03. On-premise and Secure

Protect sensitive information without compromising data security. Non API based solution provides you an option to get synthetic data on-premise on pure metal solutions.

04. Scalable

Scale your data-driven initiatives with ease using our highly scalable synthetic data solutions.

Unlock the Power of Synthetic Data for Your Enterprise

In today's data-driven world, we understand the challenges you face when it comes to data availability, privacy concerns, and scalability. Synthetic data empowers you to overcome these obstacles by providing realistic, diverse, and privacy-focused data (at your premise without usage of any API) that closely mimics real-world scenarios for training AI models, software testing, modeling, RD.

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Why in premise synthetic data?

Enhanced Privacy and Security: Keep sensitive data within your secure infrastructure, ensuring maximum privacy and minimizing the risk of exposure.
Complete Data Control: Maintain ownership and control over your data throughout the entire generation process, complying with internal policies and regulations.
Scalability and Performance: Leverage your organization's infrastructure capabilities for faster processing times and efficient generation of large volumes of data.
Customization and Flexibility: Tailor the generation process to your specific needs, incorporating domain expertise and fine-tuning algorithms for accurate and relevant synthetic data.
Reduced Dependency: Eliminate reliance on external services, APIs, or cloud platforms, ensuring seamless data generation within your own environment.
Compliance and Data Governance: Adhere to data governance policies and industry regulations by keeping data generation within your organization's infrastructure.