In a move that signals its evolution into a diversified technology powerhouse, Tether, the company behind the world’s largest and most liquid stablecoin – USDT, has announced the QuantumVerse Automatic Computer, a fully local artificial intelligence assistant.
QVAC, which accounts for Quality, Verifiability, Autonomy, and Connectivity as its core pillars, is an advanced AI agent and development platform designed to run entirely on a user’s own hardware rather than Big Tech’s data centers, prioritizing privacy and digital sovereignty.
Tether’s QVAC Ushers New Era of On-Device “Sovereign Intelligence”
During a live demonstration, Tether CEO Paolo Ardoino showcased QVAC performing complex reasoning and task execution on a modest laptop GPU. The company positions the product as the cornerstone of a new “sovereign tech stack” that moves on from the industry-standard of massive, cloud-dependent models.
Unlike mainstream AI models, such as Gemini and ChatGPT, that transmit user prompts to centralized servers, QVAC performs 100% local inference. Ardoino noted that the goal is to provide “high-performance intelligence that respects user boundaries.” By moving AI inference data from the cloud to the devices, QVAC eliminates the privacy risk often associated with data harvesting and third-party breaches, giving complete control to the individual user.
“Existing AI models are built on a foundation of data harvesting,” Ardoino said. “With QVAC, we are proving that high-performance reasoning and task completion can happen locally. Your data never leaves your device because the intelligence lives on your device.“
Central to QVAC’s framework is the rejection of the “surveillance-by-default” model utilized by industry leaders. Its local-first approach ensures that sensitive personal and professional information, which are typically used to train massive corporate models, remains encrypted and physically housed on the user’s own hardware.
QuantumVerse Unveils Action Agent for Complex Administrative Tasks
A standout feature of Tether’s AI is that it is built to act as an “action agent”, rather than a simple chatbot, by leveraging the Model Context Protocol (MCP). This open standard allows the AI to securely interface with third-party applications without sending data back to a central authority.
In the demo, QVAC was shown performing complex administrative tasks, such as creating assignments and organizing tasks within the project management tool Asana. This capability enables the model to bridge the gap between local AI and the user’s existing software ecosystem.
QVAC falls under Tether Data, one of the five core business divisions within Tether Holdings, focused on strategic investments in emerging technologies, particularly AI and peer-to-peer (P2P) platforms. They recently released the QVAC Genesis II synthetic dataset – a 148-billion-token library designed to train robust models – and the QVAC Workbench, a consumer-facing application that facilitates local AI processing for open-source models like Llama.
Tether Ecosystem Combines USDT Finance, Keet P2P, and QVAC AI
These developments suggest that Tether is building a sovereign tech stack that provides tools for users to manage their finances in USDT, communicate via the peer-to-peer Keet platform, and now access intelligence through QVAC, all without relying on intermediaries.
In a move welcomed by the developer community, Tether confirmed plans to release QVAC as an open-source project in the near future. By doing so, the company hopes to encourage global developers to build custom “skills” for the agent, potentially creating a decentralized alternative to the gated ecosystems of OpenAI and Google.
As the AI industry faces increasing scrutiny over data privacy and corporate centralization, Tether’s QVAC offers a radical alternative: an AI that belongs to the user, running on their own terms, in the privacy of their own home.
