While tech giants like OpenAI and Google are strengthening centralized AI systems, Tether is betting on the opposite approach — moving artificial intelligence from the cloud directly onto users' devices. The company introduced QVAC SDK — an open-source framework that allows running and training AI models locally, without an internet connection. This means smartphones, laptops, and personal computers can perform AI tasks independently, without relying on remote servers.

The key feature of the solution is cross-platform compatibility. The same code can run unchanged on iOS, Android, Windows, macOS, and Linux. This lowers the barrier for developers and makes deploying local AI much easier.
The main difference of this approach lies in its architecture. Modern AI services are mostly cloud-based: data is sent to a server, processed, and returned to the user. QVAC offers an alternative — processing occurs directly on the device, where the data stays.
This is directly related to privacy concerns. Local models help avoid transmitting sensitive information to the cloud, which is becoming increasingly important amid growing data protection requirements. Users gain greater control over how their information is used.