Your coverage plans need coverage

Insurance companies have so much sensitive user data at their disposal they need their own safety net. With just one breach of a testing environment using production data, ample personal information could fall into the hands of third parties. Fake numbers keep grubby hands off PII.

Layers of red tape

Regulatory committees, government bodies, and current legislation all play a role in protecting customer data. They also throw a wrench in the process, slow down testing, and limit innovative testing possibilities. The Gramm-Leach-Billey Act, Sarbanes-Oxley, and General Data Protection Regulation (GDPR) can stop you in your tracks – unless you have fake data.

Fake data is production data

AI models, advanced analytics

Tonic.ai’s modeling allows insurance companies to partake in advanced data analysis without the need for customer PII. The synthesized data stands in, serving the same purpose and enhancing analytical efficiency. No algorithm is too advanced for realistic reproduction in a test environment.

Bypass the regulations

There are so many entities looking over your shoulder. Slip up once, and you’ll be slapped with the most expensive ticket of your life. But not with fake data. Tonic circumvents specific regulations with data explicitly made for a testing environment.

Work efficiently, reduce delays, lower costs

On-site production databases require a lot of disk space, valuable time, and safety protocols that delay testing. Tonic takes all of that off your hands, automates it, and delivers complex data management in a simplified form. The result? Lower costs, more efficient testing, and timely production.

Appease investors AND customers? It is possible.

There’s typically a disconnect between what investors want and what customers need. Tonic.ai bridges the gap between the two, allowing insurance companies to enhance their services to appeal to investors and new customers. Fake data is at the root of it all, positioning the company for growth and expansion.

“The two main reasons why we wanted to use Tonic were: 1) to scrub any PII from the system; and 2) so engineers didn’t require access to the entire database for development and testing. Some of our tables are really big and you don’t need the entire dataset to do what you need to do.”
Stephen Wooten,
co-Founder & Director of Engineering
kin logo

Fake your world a better place

Enable your developers, unblock your data scientists, and respect data privacy as a human right.