Cases
Cases · Supplements Illustrative application

Prove the supplement moves the marker.

A supplement promises to raise a nutrient or lower a risk. Run a cohort on it for eight to twelve weeks and we read the target nutrient and its downstream markers — omega-3 index, vitamin D, lipids, inflammation — before and after. A measured repletion that stands behind the dose, not a label claim.

8–12 wkscohort trial window
Repletiontarget + downstream
Paired Δper-cohort shift, with p
Signaturereport · evidence trail

The claim at stake

A dose on the label isn't a level in the blood. Bioavailability, form and adherence decide whether a supplement actually moves the marker it targets. The only proof is the cohort's own levels — before and after.

Without evidence

A dose on the label

An RDI figure and a benefit story — no proof it reaches the blood or corrects what it claims to.

label · not measured

With a signature

A measured repletion

The cohort's target nutrient and downstream markers, before and after, read into a per-axis delta with significance.

paired · Δ · p-value

What it unlocks

A claim you can defend

Substantiation retail buyers and practitioners trust — and an R&D baseline for dose, form and bioavailability.

retail · practitioner · R&D

How the engine applies

One trial's panels in, a signature out. You bring the cohort's before/after lab panels; the engine reads the nutrient axis, computes the paired repletion and significance, and returns a Signature Report that backs the dose.

Input · the trial Engine Output Baseline panels Week 8–12 panels Zenlo engine deterministic + AI · auditable Read nutrient axis Paired Δ + significance Drivers & audit trail OUTPUT · SIGNATURE REPORT Nutrient repletion signature e.g. deficiency −76% (illustrative) per-axis Δ · p-value · drivers evidence trail, reproducible Example endpoint shown for illustration — the real number comes from your cohort, not from us.

The axis we read

The target nutrient, plus what it's supposed to move. A supplement should raise its direct marker and, if the claim goes further, shift the downstream ones — these are the markers we read.

Target · fats

Omega-3 index

EPA + DHA in red-cell membranes — the direct, slow-moving target of any omega-3 supplement.

EPA · DHA · O3I

Target · status

Vitamin D (25-OH)

The most common deficiency to correct — a clean before/after repletion story.

25-OH-D

Downstream

Lipids

Where omega-3 and other supplements are often claimed to act — the lipid response to repletion.

TG · HDL · LDL

Downstream

Inflammatory readout

Whether repletion tracks with lower systemic inflammation — the claim many supplements make.

hs-CRP

Who this is for

Any brand whose pill is supposed to change a number. If the promise is a raised nutrient or a lowered risk marker, there's a target that should move — and a cohort that can prove it.

Omega-3 & essential fats

«Clinically dosed EPA/DHA»

Nordic Naturals Nordic Naturals Carlson Carlson Thorne Thorne Viva Naturals Viva Naturals Barlean's Barlean's

Nordic Naturals, Carlson, Thorne, Viva Naturals, Barlean's

Vitamins & minerals

«Fix the deficiency»

Ritual Ritual Pure Encapsulations Pure Encapsulations NOW Foods NOW Foods Garden of Life Garden of Life MegaFood MegaFood

Ritual, Pure Encapsulations, NOW Foods, Garden of Life, MegaFood

Performance & longevity

«Backed by biomarkers»

Momentous Momentous AG1 AG1 Seed Seed Elysium Elysium BIOptimizers BIOptimizers

Momentous, AG1, Seed, Elysium, BIOptimizers

Logos shown are market examples of each segment, to illustrate who the application fits — not Zenlo clients or partners, and no endorsement is implied. The fit is the claim type, not the logo.

What this is — and isn't

Evidence for a claim, not a health claim

We measure what moved in a cohort and hand you the trail. We don't manufacture the result, and we don't make medical claims on the product's behalf.

Illustrative application

This page shows how the engine would apply to a supplement trial.

  • No named client or product
  • Numbers shown are example endpoints
  • The real signature comes from your data

The cohort owns the result

The signature is whatever the panels say — up, down, or flat.

  • Paired before/after, with significance
  • Drivers named; nothing cherry-picked
  • Reproducible from the same inputs

Not a medical claim

A measured repletion is evidence, not a diagnosis or a treatment claim.

  • For product substantiation & R&D
  • Claims language stays the brand's responsibility
  • Zero data retention on model calls
Illustrative application, not a client result. Any figures here are example endpoints to show the shape of the output. We turn a product's trial cohort into a measured biomarker signature; the number, and the claim it supports, come from the brand's own data.

Turn your trial into a signature.

Send one trial's before/after panels and we return a Signature Report: the measured repletion, with an evidence trail your buyers and practitioners can check.