2,000+
Research Papers
Peer-reviewed studies analyzed and indexed
We combine thousands of research papers with deterministic AI to deliver supplement recommendations you can trust.
Our pipeline transforms thousands of research papers into personalized, actionable supplement recommendations.
Research Papers
Vector Database
Policy Engine
LLM Layer
Your Plan
Our recommendations are backed by thousands of peer-reviewed studies and clinical trials.
2,000+
Research Papers
Peer-reviewed studies analyzed and indexed
117+
Supplements
In our curated green-zone database
100%
Evidence-Based
No guesswork, only peer-reviewed data
Every component of our stack is designed to deliver reliable, evidence-based recommendations.
We've processed over 2,000 research papers into a specialized vector database. Each paper is broken into semantic chunks, creating a rich knowledge graph of supplement facts, interactions, and dosages.
Our policy engine analyzes your health data in milliseconds. It uses rule-based logic to ensure consistent, predictable recommendations without the unpredictability of pure AI inference.
We use large language models to create clear, personalized explanations. The LLM reads our structured data and translates it into guidance you can actually understand.
Alva is our RAG-powered health assistant. She can answer any question about supplements by searching our vector database of research papers.
Alva
AI Health Assistant
What's the optimal magnesium dosage for sleep?
Based on 47 studies in our database, 200-400mg of magnesium glycinate taken 30-60 minutes before bed shows the best results for sleep quality.
Download Nouri and get your personalized supplement plan backed by 2,000+ research papers.