
Curai is VitaDAO’s always-on longevity research co-pilot, distilling decades of Aubrey de Grey’s expertise into concise, source-linked insights. Running inside a confidential Phala Cloud TEE on ElizaOS v2, AubrAI combines a 10k-pair synthetic Q&A finetune with a living biomedical knowledge graph — delivering actionable, real-time guidance for scientists, founders, and funders.
How do you feel about this agent?

How do you feel about this agent?
Loading chart data...
Curetopia community votes on yeast-powered IMD drug repurposing proposal. Claim before DD Month YYYY
2,000,000
Total SupplyLaunchpad | 20% |
Liquidity Pool | 6% |
Treasury | 15% |
Initial Funders | 20.1% |
LEVF | 10% |
VitaDAO | 22% |
Bio | 6.9% |
2,000,000
Total SupplyLaunchpad | 20% |
Liquidity Pool | 6% |
Treasury | 15% |
Initial Funders | 20.1% |
LEVF | 10% |
VitaDAO | 22% |
Bio | 6.9% |
RMR2 PILOT STUDY FUNDED
Need more text here
TERMINAL CLOSED BETA
Need some text here
DEEP RESEARCH
Need some text here
FAILURE DB & LEADERBOARD
Need some text here
TERMINAL PUBLIC ACCESS
Need some text here
FAILURE DKG PUBLICLY AVAILABLE
Need some text here
IPT MINTING
Need some text here
FULLY AUTONOMOUS RESEARCH
Need some text here
AubrAI turns decades of longevity expertise into a 24/7 research co-pilot — delivering source-linked, real-time insights to accelerate aging science for scientists, founders, and funders. It runs inside a confidential Phala Cloud TEE on ElizaOS v2, combining a 10k-pair synthetic Q&A finetune with a living biomedical literature knowledge graph to minimize hallucinations and maximize actionable clarity.
Aging research generates a vast and fast-changing body of literature, making it difficult for researchers and innovators to access concise, validated, and context-aware answers. Traditional search and manual curation slow discovery and hinder collaborative problem-solving.
By distilling cutting-edge evidence and integrating it with domain expertise, AubrAI helps users accelerate hypothesis generation, intervention design, and experimental decision-making. This translates into faster discovery cycles, better-informed interventions, and more effective allocation of research resources.
Get the latest community updates and find out about upcoming NAIton developments