Tether unveils TranscribePsy for on-device speech recognition

QVAC: QVAC is Tether Data’s AI research initiative dedicated to open, decentralized, and adaptive intelligence systems that operate locally on any hardware. Its mission centers on local AI and infinite intelligence without dependence on cloud data centers. TranscribePsy forms part of the QVAC Psy ecosystem as the speech-to-text foundation for integrations with tools like VisionPsy and TranslatePsy-Nano. Tether: Tether, through its Tether Data subsidiary, advances decentralized technologies focused on privacy, peer-to-peer connectivity, and innovation beyond its stablecoin roots. It is expanding into AI via initiatives like QVAC to deliver local intelligence on user devices. The company released TranscribePsy to support private, on-device speech recognition for smartphones, smart glasses, and humanoid robots. Paolo Ardoino: Paolo Ardoino is CEO of Tether and guides its efforts in privacy-preserving technologies and local AI. He has stressed that advanced AI should run directly on personal devices to keep user data under individual control. Ardoino presented TranscribePsy as an example of capable, entirely local speech AI that avoids sending conversations to centralized servers. TranscribePsy: TranscribePsy is an open-source multilingual automatic speech recognition model released under the Apache 2.0 license by Tether AI Research. It is built to run entirely on-device with strong performance across accuracy, speed, and efficiency on laptops, phones, and robots. The model enables real-time, private transcription for applications ranging from smart glasses to confidential professional settings. Privacy Focus: On-device AI processing is gaining momentum as companies and developers address risks of sensitive voice data being uploaded to cloud services during everyday interactions. Edge Deployment: Open-source and commercial efforts are accelerating compact speech models optimized for smartphones, microcontrollers, and embedded hardware to support offline voice interfaces. Consumer AI Trends: Voice-enabled technology is expanding into personal devices, prompting greater emphasis on local processing to safeguard conversations in homes, workplaces, and medical or legal contexts.