Like the world The data privacy regulatory landscape is becoming increasingly complicated and burdensome, engineering teams looking to use structured data to improve their products and AI models are being pushed through many steps to stay compliant.
BetterData, which hits the stage at the TechCrunch Disrupt SF Battlefield startup competition, aims to help customers quickly generate representative, synthetic structured data so that technical teams can work with the data in a compliant manner without waiting months to obtain permission to use real user data or generate their own.
The company’s product helps generate AI data in a secure way, allowing customers to upload real user data, transmit it and convert it securely without a copy of the data landing on BetterData’s servers. User data is tokenized and stored on a blockchain that can only be accessed with a user’s private encryption keys.
The generative data copy retains key properties of the original structured data while anonymizing and obfuscating the information. This allows teams to train models and build products that can analyze organic user data, but helps them avoid the lengthy bureaucratic processes often required to access user data.
The co-founders of the startup, CEO Uzair Javaid and CTO Kevin Yee have a background in AI data generation and blockchain security. They met during the Entrepreneur First program in Singapore.
The duo have already raised $770,000 in funding and grants and are in the process of closing a fundraiser.
“We’ve spoken to hundreds of data teams…and they’re all facing the problem of data access,” Yee told TechCrunch in an interview. “It takes a long time to access data under data protection rules… They try to innovate, but it takes so long.”
The company announced on stage that it would expand the private beta after a number of successful pilot programs. BetterData specifically targets customers in the banking, financial and insurance (BFSI) world, as well as the data and AI teams of technology companies.
Yeah and Javaid hopes its product can not only help these teams stay compliant with the growing sprawl of data privacy regulations, but can also help them avoid attacks and data leaks by leveraging encryption and blockchain. The blockchain element will also allow customers to have an immutable access log and full data lineage breakdown so they can ensure that data is never mishandled.
For now, the company’s product focuses exclusively on processing and generating structured data, but as they develop their functionality, they plan to start generating textual data using processing models. natural language. They plan to launch a public beta of their cloud services solution by the end of this year.
Like the world The data privacy regulatory landscape is becoming increasingly complicated and burdensome, engineering teams looking to use structured data to improve their products and AI models are being pushed through many steps to stay compliant.
BetterData, which hits the stage at the TechCrunch Disrupt SF Battlefield startup competition, aims to help customers quickly generate representative, synthetic structured data so that technical teams can work with the data in a compliant manner without waiting months to obtain permission to use real user data or generate their own.
The company’s product helps generate AI data in a secure way, allowing customers to upload real user data, transmit it and convert it securely without a copy of the data landing on BetterData’s servers. User data is tokenized and stored on a blockchain that can only be accessed with a user’s private encryption keys.
The generative data copy retains key properties of the original structured data while anonymizing and obfuscating the information. This allows teams to train models and build products that can analyze organic user data, but helps them avoid the lengthy bureaucratic processes often required to access user data.
The co-founders of the startup, CEO Uzair Javaid and CTO Kevin Yee have a background in AI data generation and blockchain security. They met during the Entrepreneur First program in Singapore.
The duo have already raised $770,000 in funding and grants and are in the process of closing a fundraiser.
“We’ve spoken to hundreds of data teams…and they’re all facing the problem of data access,” Yee told TechCrunch in an interview. “It takes a long time to access data under data protection rules… They try to innovate, but it takes so long.”
The company announced on stage that it would expand the private beta after a number of successful pilot programs. BetterData specifically targets customers in the banking, financial and insurance (BFSI) world, as well as the data and AI teams of technology companies.
Yeah and Javaid hopes its product can not only help these teams stay compliant with the growing sprawl of data privacy regulations, but can also help them avoid attacks and data leaks by leveraging encryption and blockchain. The blockchain element will also allow customers to have an immutable access log and full data lineage breakdown so they can ensure that data is never mishandled.
For now, the company’s product focuses exclusively on processing and generating structured data, but as they develop their functionality, they plan to start generating textual data using processing models. natural language. They plan to launch a public beta of their cloud services solution by the end of this year.