Every signal you own — wearables, DNA, glucose, blood, minerals — unified by an AI trained on twelve years of human pattern interpretation. One living profile. One answer: what to do this week. For people, and their animals.
Any model can summarize your sleep data. Ours reconciles contradictions between your signals — and shows the receipts from twelve years of catalogued cases while it does.
Sleep says fine, minerals say empty, glucose says 14:40 crash. The AI resolves the contradiction — that reconciliation layer is the product.
Every insight is matched against 31 patterns catalogued since 2014 — with the year, the case count, and the confidence attached.
Not forty pages of charts. Three actions, re-planned every time new data lands.
AI drafts, our practitioners approve. Wellness guidance, not diagnosis — by design.
The world is right to be uneasy about AI in health: models that invent facts, apps that farm data, advice averaged over everyone and true for no one. We built for exactly that world — every worry answered by architecture, not promises.
Receipts, always. Every insight cites its data sources and its matched pattern — year catalogued, cases seen, confidence. If the engine can't ground a claim, it doesn't make it.
EU-vaulted, encrypted, explicit consent, never sold, deletable on request. Privacy is the product here — not its cost.
AI drafts; certified practitioners approve every protocol. The machine is supervised by the people whose twelve years trained it.
Every forecast is scored against the client's next retest. Our median forecast error is a tracked KPI that has to fall — accountability by design.
Nothing is averaged. One profile per person — or animal — reconciled across seven signals, against their own history, not a population mean.
A reading that took our practitioners two weeks now runs continuously — same method, a thousand times the frequency, within the economics of a subscription. That is the advance worth keeping.
Every faint line is the shape of a documented recovery arc under the Reset Method. The gold line is what the engine observed; the dashed line is it predicting forward, inside a confidence band. Every retest scores that prediction — forecast accuracy is a KPI here, not a slogan.
Since 2014 we've named, catalogued and resolved the recurring signatures of depletion — across executives, athletes, dogs and horses. This library is what the AI reasons with. A newly funded competitor can buy GPUs; it cannot buy 2014. A selection:
HTMA + personalized nutrition, before biohacking was a word.
Recurring signatures get names, criteria, resolution arcs.
Same discipline, applied to animals. Still unique.
Company rebuilt from zero. We practice what we prescribe.
Twelve years encoded into AI. Continuous, not twice a year.
A score that moves weekly is a subscription. A score that moves twice a year is a test kit. We built the former.
A single test becomes a continuous subscription — plus the program, plus the retests. That's the flip.
Our own verticals run on the same API we license. Pet brands, insurers, clinics and coaching platforms plug in — their brand in front, our intelligence behind, per-call and per-kit economics underneath.
// any brand, any species — one engine POST /v1/profiles/nova_the_dog/signals { "source": "htma_panel", "markers": { "mg": 31, "ca": 288, "na_k": 2.1 } } // → 200 OK { "reset_score": 82, "delta_90d": +11, "pattern": { "id": "P22_stress_mirror", "catalogued": 2019, "confidence": 0.93 }, "actions": ["adjust_mineral_mix", "retest_wk6"], "review": "practitioner_queued" }
The wellness economy hit $6.8 trillion in 2024 and is forecast to reach $9.8 trillion by 2029 (Global Wellness Institute). Every supplement brand and insurer wants personalization — almost none can build the interpretation layer. We license ours, white-label, with category exclusivity where it's earned.
Private label, end to end. Your brand, your shelf, your pricing. We run the layer between order and outcome: test pipeline, Reset Score, per-user formulation logic, co-branded report, and the retest loop that turns a one-time sale into a subscription.
Data & prevention. A depletion signal that surfaces risk months before a claim, plus a branded engagement program members actually use. Anonymized cohort analytics, forecast accuracy as a tracked KPI — the language actuaries respect.
The full stack behind your brand. Kits, scores, forecasts, protocols, human-review queue. Function-Health-style testing with the interpretation layer built in — your client never leaves your ecosystem.
Longitudinal & labeled. Seven signals per profile-week, two ground-truth outcomes per member per year. Consented, cross-species, and impossible to rebuild retroactively. Accuracy compounds with scale — what a data buyer pays a multiple for.
One pilot. Ninety days. Revenue-shared. partners@resetyourself.com
Memberships + retest loops + B2B per-kit economics. Revenue compounds; CAC is paid once.
Longitudinal, multi-signal, consented, cross-species — seeded with twelve years of catalogued interpretation. Every retest scores a forecast, so prediction accuracy compounds with scale. That accuracy curve is what acquirers pay multiples for. You can fund a lab in a year; you cannot fund 2014.
The Engine licenses to brands, insurers and practitioners. Their marketing scales our platform.
No cap-table debris. We partner selectively: strategic distribution, vertical licensing, white-label intelligence.
Riding a multi-billion personalized-nutrition market growing ~15%/yr.
partners@resetyourself.com