Research engine, turned on you.
AI-READI turns a population into knowledge. LongevityOS is the inverse — it turns that knowledge back onto one person who uploads their own data.
Many people → models & findings. Foundation model, validated coupling findings, a corpus of critiqued hypotheses. Discovery.
Models & findings → one person’s insight. We consume the frozen outputs — coefficients, reference distributions, evidence cards. Application.
Multimodal foundation model
A JEPA encoder trained on AI-READI shows aligned person-time windows beat wrong-day and shuffled-participant controls across 36 runs — real cross-modal physiology, not an artifact.
Agentic discovery engine
A guarded multi-agent system with scientific, feasibility, and mechanical reviewer gates. Repointed here, those gates become your intervention safety pipeline.
27 hypotheses
A propose → critique → execute → verify backbone. Findings — including refuted ones — are distilled into evidence cards the agent must cite.
N-of-1 reasoning
Cohort clocks give orientation; the product leads with within-person change against your own growing baseline — a cleaner signal for one person.
See it on a live profile.
Your data stays private — only derived summaries are ever reasoned over.