Innovate faster with secure, ready-to-use Synthetic Data
Unlock the power of synthetic data to develop, test, and refine models safely. Reduce risks, speed up your development cycle, and achieve more accurate results without compromising sensitive information.
What is Synthetic Data and how can it benefit you?
01
Save money
Generating synthetic data is often more cost-effective than collecting and storing real data, helping you save on acquisition and storage expenses.
02
Protect your data
Synthetic data serves as a safe alternative to real data, allowing you to protect individual privacy while still developing and testing software, applications, and machine learning models.
03
Rapid prototyping
Synthetic data is quick and easy to generate, enabling rapid prototyping and testing of new software, applications, and models. This accelerates your development cycle and helps bring products to market faster.
04
Improve accuracy
Synthetic data allows for the creation of more diverse and representative datasets, improving the accuracy and effectiveness of machine learning models for better predictions and outcomes.
Use cases
Fraud
Finance
ESG
Test Data
Key features at a glance
Synthetic data is created from assumptions and rules, not real-world observations or individual measurements. This makes it fully anonymous and free of any personal identifiable information (PII).
Creating synthetic data is often more affordable than collecting and storing real data, helping Enterprises reduce acquisition and storage costs.
Synthetic data can be reused for various purposes, like testing and training machine learning models, all while maintaining individual privacy and security.