BetterData taps the blockchain to help create better synthetic data

Engineering teams are being pushed to jump through a lot of hoops to stay compliant as the global data privacy regulatory landscape gets more convoluted.

BetterData aims to help customers quickly generate synthetic structured data so that technical teams can work with data in a compliant way without waiting for clearance to use actual user data or generate their own.

It is possible for clients to securely transmit and convert real user data without a copy of the data landing on BetterData's server, thanks to the company's product. The data is only accessible with a user's private key.

The image is called Better Data.

The key properties of the original data are maintained by the generative data copy. It allows teams to train models and create products that are capable of analyzing user data, but it also helps them avoid bureaucratic processes that are often required to gain access to user data.

Uzair Javaid and Kevin Yee are the co- founders of the startup. The two met at the program.

They have raised $770,000 in funding and grants so far, and are in the process of closing a seed raise.

Hundreds of data teams face the problem of access to data according to Yee. It takes a long time to get data under data protection rules.

This image was taken at TechCrunch.

A number of successful pilot programs will be expanded by the company. BetterData is targeting customers in the banking financial services and insurance world as well as data and artificial intelligence teams at tech companies.

Yee and Javaid hope their product can help those teams stay compliant with the increasing data privacy regulations and also help them avoid data attacks and leaks by using theBlockchain andEncryption Customers will be able to have an untainted access log and a full breakdown of their data in order to make sure that their data is not being mishandled.

As they build out their function, the company plans to start generating text data using natural languageprocessing models. By the end of the year, they are going to launch a public version of their solution.