# QVAC > Local AI. Infinite intelligence. No compromise. QVAC is a modular, privacy-focused AI platform that runs locally on any device and scales across a decentralized peer-to-peer network. QVAC, short for Quantumverse Automatic Computer, proposes a decentralized AI ecosystem where agents live, learn and collaborate directly on local hardware—from wearables to robots—while connecting through a resilient peer-to-peer network. The modular design protects user data, supports many self-sovereign agents and enables applications such as robotic control, translation and health monitoring. - Type: Project - Sector: Infrastructure - Status: Active - Founded: 2025-04-01 - Profile: https://thegrid.id/profiles/qvac ## Products - [QVAC SDK](https://thegrid.id/profiles/qvac): QVAC SDK is an AI framework and runtime that lets developers build on-device inference agents and modules, then connect them through a decentralized peer-to-peer network. (AI Agent Framework, In Development, Main Product) - [QVAC Translate](https://thegrid.id/profiles/qvac): QVAC Translate is a local AI application for translating and transcribing text, documents and media on the user’s device with optional peer collaboration. (AI Agent, In Development) - [QVAC Health](https://thegrid.id/profiles/qvac): QVAC Health is a local AI wellness tool that stores and analyzes heart-rate, activity, body signals and medical records securely on the user’s device. (AI Agent, Live) - [QVAC Workbench](https://thegrid.id/profiles/qvac): QVAC Workbench runs AI models directly on user devices through local inference, supporting open-source models including Llama, MedGemma, Qwen, SmolVLM, and Whisper across mobile and desktop platforms. The application enables users to experiment with language models, perform document analysis using on-device RAG, and leverage delegated inference for peer-to-peer computation between devices while maintaining complete data privacy. (Developer Tooling, Live) - [Genesis I](https://thegrid.id/profiles/qvac): Genesis I is a synthetic dataset containing 41 billion text tokens designed for training STEM-focused language models in mathematics, physics, biology, and medicine. The dataset was generated through synthetic data production methods and validated across scientific benchmarks to support the development of reasoning and problem-solving capabilities in open-source AI models. (Off-Chain Data APIs and Services, Live) ## Links - [Main](https://qvac.tether.io) - [Twitter / X](https://x.com/qvac) - [Discord](https://discord.com/invite/tetherdev) ## Relationships - [Tether](https://thegrid.id/profiles/Tether): Parent organization ## Legal This data is provided under two licensing models. Model 1 - open data. The open data core is licensed under the Open Database License (ODbL) — a copyleft/share-alike license allowing free use, modification, and sharing for any purpose. 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