SuperAging.AIThe data layer of human aging.

The platform

Three layers of data intelligence, built specifically for longitudinal research on adults 60–90.

SuperAging.AI is engineered for continuous multimodal signals, phenotype-resolution timelines, and governance-first delivery to sponsors — without diluting the plain-English experience members experience day to day inside the cohort.

Pillar 1 — Platform Data Intelligence

Continuous multimodal data, curated into research-grade longitudinal cohorts.

  • Multimodal capture: wearables (e.g., activity load, cardio sleep strata), bathroom-scale trajectories where instrumented, repeated cognitive-panel micro-metrics, optional lab linkage when protocol and consent envelopes align.
  • IRB-aligned execution: protocol templates that slot into academic and commercial sponsor workflows; consent stratification surfaced to researchers precisely as approved.
  • Operational posture: HIPAA-grade infrastructure partitioning, audited access paths, segregation of duties compatible with pharma quality expectations.
  • Analytics depth: latent-class phenotype discovery, multimodal fused trajectories, statistical rigor appropriate to observational and pragmatic study designs — not flattened wellness indices.
  • Delivery surfaces: negotiated data-use agreements (DUA); governed REST or Graph modalities where warranted; sandboxed researcher workbench experiences for iterative hypothesis generation.

Pillar 2 — The Life Statement (research artifact)

The Life Statement is more than a member benefit — it is a structured, longitudinal narrative artifact unique to SuperAging.AI. For researchers, the monthly Life Statement provides a member-validated narrative layer that complements quantitative biometrics. No other RWE platform produces a participant-narrative output of this fidelity.

The Life Statement

A bank gives you a monthly statement for your money.
We give you one for your life.

Every 30 days, every reading from your fitness band, your scale, your brain games, and your blood labs comes together into one clear, plain-English story about your health and where it’s heading. Connected. Narrative. Delivered like clockwork.

A 3–5 minute progress video

A spoken, visual report from a friend who's been paying attention to your health all month. Yours to keep.

Trends, not snapshots

Monthly, quarterly, yearly, and lifetime since you joined. The patterns a single day's reading would never reveal.

Plain-English summaries

What's improving. What's slipping. What your coach recommends doing next. No dashboards full of disconnected gauges.

Yours, always

Export it, share it with your doctor, download every reading we've ever pulled in. Nothing is locked away.

Pillar 3 — Adaptive Conversations (PRO instrument)

Beyond member engagement, Conversations functions as a continuous patient-reported-outcomes instrument. With member consent, structured conversation transcripts and follow-up patterns can be made available to researchers as a longitudinal qualitative dataset — searchable, codeable, and aligned with biometric trajectories on a per-participant basis.

Conversations

Talk to your health.
It talks back.

Conversations is a natural-language window into everything we know about you — your body, your biometrics, your sleep, your training, and how your trends are moving. Ask anything in plain English. No menus, no filters, no charts to decode. Just ask, and get an answer you can actually use.

Natural Language In, Natural Language Out

Example: "Tell me how my heart rate is over the last month." The agent answers conversationally — patterns, anomalies, and context — not just a table of numbers.

Adapts to You

The Conversation Agent calibrates to your level. A clinician gets clinical depth. A beginner gets plain-language explanations and analogies. Ask it to re-explain, simplify, or go deeper anytime.

Remembers Everything

Every question, answer, and follow-up lives in your conversation history. The agent recalls what you asked last week, last month, or last year — so context compounds, and questions like “How does that compare to what I asked you in March?” just work.

Example exchange

User: “Tell me how my heart rate is over the last month.”

Agent: “Your resting HR is averaging 58 bpm — down 3 bpm from last month, which usually means your training base is improving. Want me to break it down by week or compare it to your sleep trends?”