The Problem

In geroscience, the volume of published research is growing exponentially — over 1.5 million papers indexed in PubMed under "aging" alone, with hundreds added daily. A researcher trying to stay current faces an impossible task: read, synthesize, connect findings across disciplines, identify gaps, and generate hypotheses — all while managing the mechanics of research: writing, formatting, grant applications, collaboration.

We asked ourselves: what if a researcher could have a copilot — an AI system deeply integrated into the research workflow, not just a chatbot, but an active collaborator that understands the full context of a project?

Enter Aubrey

Aubrey (named in honor of Aubrey de Grey, a pioneer in geroscience) is an AI-powered research copilot designed specifically for geroscience and longevity research.

Core Capabilities

1. Deep Literature Integration Aubrey ingests and indexes the full text of papers, not just abstracts. It builds a semantic knowledge graph connecting:

• Molecular mechanisms (senescence, autophagy, mitochondrial dysfunction)
• Interventions (senolytics, NAD+ precursors, caloric restriction)
• Clinical trials and outcomes
• Cross-species models

2. Multi-Phase Research Architecture Aubrey operates in three progressive phases:

3. Project-Aware Context Unlike general AI assistants, Aubrey maintains persistent project memory. It knows:

• Which papers you've already read
• Your current hypotheses
• The connections you've identified
• Your pending experiments and analyses

This means no more repeating context in every prompt — Aubrey remembers.

4. Multi-Model Orchestration Aubrey intelligently routes tasks to the optimal AI model:

• DeepSeek V4 for complex reasoning and writing
• Claude for nuanced analysis
• Gemini for broad synthesis
• Open-source models for routine tasks

Technical Architecture

┌─────────────────────────────────────────────┐
│              Aubrey Core                     │
├─────────────┬───────────────┬───────────────┤
│  Phase 0    │   Phase A     │   Phase B     │
│  (Retrieve) │  (Analyze)    │  (Execute)    │
├─────────────┴───────────────┴───────────────┤
│           Knowledge Graph                    │
│  (Papers ↔ Mechanisms ↔ Interventions)       │
├─────────────────────────────────────────────┤
│           Model Router                       │
│  DeepSeek │ Claude │ Gemini │ Open-Source    │
├─────────────────────────────────────────────┤
│           Tool Integration                   │
│  PubMed │ ORCID │ GitHub │ Document Gen      │
└─────────────────────────────────────────────┘

Current State and Next Steps

As of May 2026, Aubrey Phase 0 is fully operational. It can:

• Search and retrieve papers from PubMed with semantic understanding
• Summarize findings across multiple papers
• Answer research questions with citations
• Maintain conversation history across sessions

Phase A is under active development with focus on:

• Hypothesis generation from literature gaps
• Experimental design assistance
• Grant proposal drafting

Call to Collaboration

We are actively seeking:

• Geroscience researchers interested in beta testing
• Collaborators for grant applications (EIC Pathfinder, SRNSFG)
• Developers with expertise in knowledge graphs and scientific NLP
• Institutions interested in deploying Aubrey for their research teams

The project is led by Georgia Longevity Alliance (Reg. №404506520), a non-profit organization dedicated to advancing longevity research in the Caucasus region and globally.

Get Involved

• 📧 Email: jaba@longevity.ge
• 📱 WhatsApp/Telegram: +995 555 185161
• 🔗 ORCID: 0000-0001-8651-7243
• 🏛️ Georgia Longevity Alliance