Tether launches QVAC Health, an on-device AI wellness platform
Tether has introduced QVAC Health, a privacy-focused platform that consolidates data from multiple wearables and wellness applications into a single dashboard processed locally on user devices. The company said the system is designed to keep biometric analysis and storage off cloud servers.
According to a Wednesday announcement, QVAC Health encrypts and processes activity, meals, symptoms, and medication logs offline using on-device AI and peer-to-peer model downloads, reducing reliance on external servers or manufacturer APIs.
The app includes experimental computer-vision features that estimate calories and macronutrients from meal images and can cross-reference those entries with data from various wearables to detect patterns in activity, recovery, or sleep. All processing occurs locally on the user’s device.
Tether CEO Paolo Ardoino described QVAC Health as a neutral repository for wellness data and said it reflects the company’s emphasis on privacy-preserving local intelligence. Future updates are expected to add Bluetooth Low Energy connections to enable direct data reads from select wearables without routing through cloud services or third-party APIs.
The platform is part of Tether Data’s QVAC initiative, which develops peer-to-peer, device-based AI systems intended to function without centralized platforms.
The global fitness-tracker market was valued at $52.29 billion in 2024 and is projected to reach $189.98 billion by 2032, according to Verified Market Research. Key manufacturers include Apple, Fitbit, Samsung, and Huawei.
Privacy concerns drive developments across crypto
Tether’s launch aligns with statements Ardoino made in 2024, asserting that running AI models locally on user devices is the most reliable method to prevent data harvesting and exposure via centralized servers.
In December 2024, former White House adviser David Holtzman warned that AI-enabled data aggregation and anticipated quantum computing risks increase the vulnerability of large, centralized data repositories. He noted that AI can rapidly combine behavioral and transactional information to identify targets more precisely, while future quantum attacks could undermine current encryption standards across industries.
Holtzman added that decentralized architectures can help mitigate these risks by limiting the accumulation of sensitive information in single locations.
In June, Ethereum co-founder Vitalik Buterin proposed a “pluralistic identity” framework—a digital ID approach that allows users to verify identity or eligibility for services without disclosing full personal details.
In December, Fortune reported that Circle is working with Aleo on a privacy-enhanced stablecoin, USDCx, aimed at providing institutional users with banking-grade transaction privacy while maintaining the capability to supply compliance records when required.
Heightened sensitivity to data exposure and surveillance has also supported renewed interest in privacy-oriented cryptocurrencies, with the Zcash protocol cited as one of the beneficiaries.
Stay informed, read the latest news right now!
Disclaimer
The content on TrustsCrypto.com is for informational purposes only and does not constitute financial or investment advice. Cryptocurrency markets are highly volatile, always do your own research before making decisions.
Some content may be assisted by AI and reviewed by our editorial team, but accuracy is not guaranteed. TrustsCrypto.com is not responsible for any losses resulting from the use of information provided.
