Why use real (sensitive) data when you can use synthetic data?

Our clients realize data-driven innovation via various synthetic data use cases. Explore here the most valuable ones for you!

Realize data-driven innovation with synthetic data

Client Stories

Synthetic Data Use Cases

Agile analytics

Eliminate time-consuming governance blocking internal data access and innovation

Data sharing

Share synthetic data as alternative for sharing original data to eliminate data-sharing challenges

Data retention

Overcome legal retention periods and preserve data to spot valuable patterns, trends and relationships over time

Test environments

Minimize production data and unrepresentative data in your test environments

Data commerce

Responsibly monetize your data assets (by 2022, 35% of companies will be data buyers or sellers)

Data balancing

Intelligent data augmentation to reduce data-biases, extend datasets and/or balance datasets

BOOST THE REALIZATION OF DATA-DRIVEN INNOVATION NOW!