Tether recently launched an innovative platform that integrates data from various wearable devices and health applications into a single, locally processed data dashboard, aimed at empowering users to have comprehensive control over their biometric information.
Named QVAC Health, this platform aggregates data from fitness trackers, nutrition apps, and other wearable devices into an encrypted data dashboard that can operate offline. It utilizes device-side AI and peer-to-peer model download technology to analyze activity, diet, symptoms, and medication records without relying on external servers.
According to an announcement released on Wednesday, the application includes experimental computer vision tools capable of estimating calorie and macronutrient content from meal photos, and it can correlate these records with data from multiple wearable devices to identify activity, recovery, or sleep patterns, all processing occurring locally on the user's device.
Tether CEO Paolo Ardoino noted that the platform represents a "neutral space for health data," reflecting the "company's commitment to privacy-preserving local intelligent technology."
As the world's largest stablecoin issuer, Tether stated that future updates will include direct Bluetooth Low Energy connectivity features, allowing the application to read data directly from specific wearable devices without the need to transmit information through manufacturer APIs or cloud services.
The platform is part of Tether Data's QVAC project, which aims to build peer-to-peer, device-based AI systems designed to operate independently without relying on centralized platforms.
According to a report by Verified Market Research, the global fitness tracker market is expected to reach $52.29 billion in 2024 and grow to $189.98 billion by 2032. Major fitness tracker manufacturers include Apple, Fitbit, Samsung, and Huawei.
Tether's new platform aligns with Ardoino's statements in 2024. He pointed out that running local AI models directly on user devices is the only reliable way to prevent data from being collected or exposed through centralized servers.
Former White House advisor David Holtzman told Cointelegraph in December 2024 that AI-driven data aggregation and future quantum threats make large databases particularly vulnerable.
Holtzman emphasized that AI can quickly aggregate behavioral and transaction data, allowing for more precise target identification, while future quantum attacks could breach the encryption standards across various industries today. He believes that decentralized systems can help mitigate these risks by avoiding large centralized data storage.
Various threats to privacy have prompted the crypto community to take a series of actions. In June, Ethereum co-founder Vitalik Buterin proposed a "diversified identity" model—a digital ID scheme that allows users to prove their identity or qualify for services without exposing all personal information.
In December, Fortune magazine reported that Circle is collaborating with Aleo to develop a privacy-enhanced stablecoin called USDCx, aimed at providing institutional users with bank-level transaction privacy protection while retaining the ability to provide compliance records when necessary.
Growing concerns over data exposure and surveillance have also reignited market interest in privacy-focused cryptocurrencies, with the Zcash protocol being one of the major beneficiaries.
Related: Payment giant Stripe acquires the core team of crypto wallet app Valora
Original: “Tether launches privacy-focused health platform featuring device-side AI technology”
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