Aubrai by Bio (AUBRAI) currently has a price of ₽507.58 and is up 1.089% over the last 24 hours. The cryptocurrency is ranked 1729 with a market cap of ₽700.2M. Over the last 24 hours, it saw ₽364.4M of trading volume. The token has a circulating supply of 1.4M tokens out of a total supply of 2M tokens.
Aubrai is an on-chain AI BioAgent developed by Bio Protocol in collaboration with VitaDAO and Dr. Aubrey de Grey’s LEV Foundation. Its purpose is to accelerate longevity research by combining unpublished lab data, internal scientific dialogues, and domain knowledge with AI tools to help generate hypotheses, design experiments, and protect proprietary insights. The project represents a move toward decentralized science (DeSci), using blockchain, tokenization, and community governance to shift how biomedical research is funded and managed.
At its core, Aubrai is tied to the Robust Mouse Rejuvenation (RMR2) project — an ambitious study aiming to double the remaining lifespan of middle-aged mice. If successful, RMR2 may serve as a proof of concept that multi-target rejuvenation interventions are viable, potentially marking a milestone for aging research analogous to breakthroughs in protein folding. Aubrai contributes by recommending experimental designs, flagging methodological issues, and integrating real-time scientific updates into a knowledge graph, thus helping to accelerate discovery while maintaining rigor.
Governance & Token Utility
The AUBRAI token grants its holders governance rights over research output decisions, allowing them to vote on hypothesis proposals, wet-lab study designs, and experiment funding allocation. Holders also share in possible monetization outcomes when discoveries are commercialized, including licensing or intellectual property licensing. This model aims to align the incentives of scientists, funders, and community participants.
Technical & Data Features
Aubrai merges several technological components to deliver its functionality. It is built on the BioAgents framework, with enhancements specific to longevity science (via ElizaOS v2). Its knowledge sources include private lab notes, internal communication, unpublished results, and a curated library of scientific literature. The agent leverages a knowledge graph of longevity research to support reasoning, hypothesis generation, and experimental design, while also aiming to maintain secure handling of private scientific data.
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