AI generated test data, the future for an agile release cycle?

Are you an organization with in-house tech development? Then you probably have a staged approach for delivering new features to enhance your customer journey. Typically, organizations have the “DTAP” stages:

  1. Development
  2. Testing
  3. Acceptance and
  4. Production

Testing and development with high quality test data is essential to deliver state-of-the-art software solutions. Using real (original or production) data seems obvious, but is not allowed in the Development, Testing and Acceptance phase due to (privacy) regulations. Syntho ensures that you have the best possible alternative as test data so that you can deliver state-of-the art solutions:.

DTAP test data
Challenges

Key challenges in getting your test data right:

Alternative “solutions” introduce key challenges in getting your test data right:

Our solution

Create a digital twin with AI

Synthetic data twin generation

We mimic your (sensitive) original data with an AI algorithm to generate a synthetic data twin. This allows you to test and develop with an AI generated synthetic test data twin to deliver state-of-the-art solutions with:

Business value

Test and develop with next-level test data to deliver state-of-the-art software solutions!

DTAP test data with ai generated synthetic data twin

We are expert in synthetic data. But, don’t worry, our team is real!

Contact Syntho and one of our experts will get in touch with you at the speed of light to explore the value of synthetic data!

Syntho - synthetic data software to for more data in data driven innovation.innovation.