As a global As the data privacy regulatory landscape becomes more complex and strict, engineering teams looking to leverage structured data are being pushed to jump through hoops to improve their products and remain compliant with AI models.
On stage at the TechCrunch Disrupt SF Battlefield launch event, BetterData aims to help our customers quickly generate representative and structured data to enable technical teams to work more efficiently with data without waiting months for the right user to use it. data or generate their own.
The company’s product generates AI data in a secure way, allowing customers to upload and securely transmit and copy data to BetterData’s servers. User information is stored on the blockchain and is only accessible with the user’s private encryption keys.
Image Credits: Better data
The generative data copy preserves the key characteristics of the original structured data while de-identifying and de-identifying the data. This allows teams to create products that can train models and analyze organic user data, while avoiding the lengthy bureaucratic processes often required to access user data.
The startup’s co-founders, CEO Uzair Javaid and CTO Kevin Yee, have backgrounds in AI data generation and blockchain security. They met at the Entrepreneur First program in Singapore.
The two actors have raised $770,000 so far in funding and donations and are on track to close the seed fundraiser.
“We’ve talked to hundreds of data groups … and they all face data access issues,” Ye told TechCrunch in an interview. “It takes a long time to access data under data protection regulations… They’re trying to create something new, but it takes a long time.”
Image Credits: TechCrunch
The company announced on its platform that it will be expanding its private beta after several successful testing programs. BetterData is specifically targeting clients in the banking financial services and insurance (BFSI) world, as well as data and AI teams at tech companies.
Yes and Javaid hopes their product will not only help teams comply with ever-increasing data privacy regulations, but also tap into encryption and blockchain to help them avoid data attacks and leaks. The blockchain element allows clients to have an immutable access log and a complete data pipeline list so they can ensure that data is never mishandled.
Currently, the company’s product focuses only on processing and generating structured data, but as they develop their functionality, they plan to start generating text data using natural language processing models. They plan to launch a public beta of their cloud service solution later this year.
