Tether Unveils QVAC Health App Focused on Privacy and Local AI Processing

TLDR

• Tether’s QVAC Health app stores fitness data locally, ensuring user privacy.
• The app uses AI and computer vision to track wellness without cloud reliance.
• Tether’s $4 billion investment strategy focuses on privacy-preserving AI tech.
• The QVAC platform powers decentralized AI applications on any hardware.

On December 10, 2025, Tether introduced QVAC Health, a new mobile app designed to prioritize user privacy. This launch marks a significant expansion for the company beyond its core stablecoin operations. The app leverages artificial intelligence to process fitness and wellness data on users’ devices without relying on cloud servers. Tether’s broader strategy involves substantial investment in AI and decentralized technologies, with a commitment to privacy and user control.

Privacy-Focused Health Tracking

The QVAC Health app sets itself apart from traditional wellness apps by keeping all user data stored and processed locally. Unlike many health applications, QVAC Health eliminates the need for data to be uploaded to external servers. This approach ensures that personal fitness data, including workouts, meals, and medical information, remains private and secure.

The app uses advanced artificial intelligence models that are downloaded through peer-to-peer networks. These models do not require internet connectivity to function, meaning users can access AI-powered features without being dependent on cloud services. 

Tether’s CEO, Paolo Ardoino, emphasized that QVAC Health represents “the first truly neutral ground for wellness data,” allowing users to take full control of their information while using cutting-edge AI technology.

AI-Powered Features Without Cloud Dependence

One of the standout features of the QVAC Health app is its ability to process wellness data without needing cloud-based infrastructure. The app utilizes experimental computer vision technology to estimate calories and nutrients from food photos.

These estimates are generated locally on the user’s device, ensuring that no images are uploaded to external servers. This technology is particularly useful for individuals seeking to track their nutrition while keeping their personal data private.

Moreover, the app supports natural language input, allowing users to log symptoms, meals, or workouts simply by speaking or typing commands. For example, users can log phrases like “feeling tired after lunch,” and the AI will automatically interpret and organize the data. This integration of AI into wellness tracking further enhances the convenience of the app while maintaining privacy.

Tether’s $4 Billion AI Investment Strategy

The launch of QVAC Health aligns with Tether’s larger investment strategy in artificial intelligence and decentralized technologies. The company has committed $4 billion to AI and related technologies through its investment arms, Tether Investments and XXI Capital. These funds are directed toward initiatives that emphasize decentralization and privacy.

Tether’s recent investments in AI include the funding of Generative Bionics, a company specializing in industrial humanoid robots, and the acquisition of a majority stake in Blackrock Neurotech, a brain-computer interface developer. These strategic investments highlight Tether’s aim to influence the development of AI technologies that prioritize user autonomy and data security.

Expanding the QVAC Platform for Decentralized AI

The QVAC Health app operates on Tether’s QVAC platform, a decentralized infrastructure that supports AI applications running locally on any device. The platform is designed to reduce reliance on centralized cloud services by allowing applications to operate directly on smartphones, computers, and servers.

As part of this vision, Tether introduced the QVAC-fabric-llm infrastructure in early December 2025, enabling the training of large language models directly on consumer devices.

The QVAC platform also facilitates peer-to-peer downloading of AI models, ensuring that no single entity controls the technology. This decentralization fosters a more secure and equitable environment for AI development, making it accessible to developers and users worldwide.

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