Tether announced QVAC Health, an AI-integrated health platform that processes data locally, giving users full control over their biometric data without needing to send it to external cloud servers.
Amid growing concerns about data privacy, Tether has officially introduced a new approach to digital healthcare technology. The QVAC Health platform is designed to aggregate data from multiple smart wearables and healthcare apps into an encrypted dashboard, where all analysis and processing takes place entirely on the user's device.
The unique feature of the system is its use of locally running artificial intelligence along with a peer-to-peer download model to analyze data on physical activity, diet, symptoms, and medication use without sending information to external servers.
According to an announcement made on Wednesday, the app also integrates experimental computer vision tools capable of estimating calories and nutritional content from food images, then linking this information with data from multiple wearable devices to identify correlations between exercise, recovery, and sleep.
Paolo Ardoino, CEO of Tether , describes the platform as a data-neutral space for health data, demonstrating the company's commitment to an AI-powered model that protects privacy on-premises. This approach marks a clear departure from traditional health apps that often require users to upload data to the cloud for processing and analysis.
Next-generation connectivity technology and a long-term vision.
Tether stated that in future updates, QVAC Health will support Bluetooth Low Energy connectivity, allowing the app to read data directly from the wearable device without going through the manufacturer's application programming interface or servers. This feature will further enhance user independence and security, completely eliminating reliance on third-party intermediaries for accessing personal data.
This platform is part of Tether Data's QVAC project, which aims to build peer-to-peer artificial intelligence systems that operate entirely on devices without relying on a centralized platform.
This move comes amid a booming global health tracking device market, which, according to Verified Market Research, reached $52.29 billion in 2024 and is projected to grow to $189.98 billion by 2032.
The launch of QVAC Health aligns with the views Ardoino expressed in 2024, that running AI models locally on user devices is the only way to prevent centralized data collection and leakage risks from cloud servers.
Former White House adviser David Holtzman also warned that the centralization of data combined with the risks from artificial intelligence and quantum technology makes large data repositories more vulnerable than ever, as AI can combine behavioral and transactional data to identify targets more precisely.
Growing concerns about data leaks and digital surveillance have spurred numerous new security initiatives within the crypto asset community.
Vitalik Buterin, co-founder of Ethereum, proposed a plural identity model that would allow users to verify their identity or eligibility for a service without disclosing all their personal information.
Circle is developing the security-enhancing stablecoin USDCx in partnership with Aleo, targeting institutional users with a level of privacy comparable to banks but still capable of providing compliance profiles when needed.
Cryptocurrencies like Zcash are also seeing a strong resurgence of interest as the need to protect personal data in the Web3 and artificial intelligence environments grows.
