Cases
Cases · Household chemicals Illustrative application

Prove the swap shows up in the body.

A "non-toxic" cleaner or personal-care line promises lower chemical exposure. Have a cohort switch to it for six weeks and we read the exposure biomarkers — phthalate and paraben metabolites, with the inflammatory response — before and after. A measured drop that stands behind the claim, not a "free-from" sticker.

6 wksswitch-and-measure window
Exposureurinary metabolites
Paired Δper-cohort shift, with p
Signaturereport · evidence trail

The claim at stake

"Non-toxic" is a claim about the body, not the bottle. Low-tox positioning promises less of something ending up in you. The only way to show it is to measure what the cohort actually carries — before the switch and after.

Without evidence

A "free-from" sticker

Ingredient-list claims and a clean aesthetic — nothing measured in the body a retailer or regulator can check.

label · not measured

With a signature

A measured exposure drop

The cohort's own metabolite levels, before and after the switch, read into a per-axis delta with significance.

paired · Δ · p-value

What it unlocks

A claim you can defend

Substantiation retail buyers and regulators accept for low-tox positioning — and an R&D baseline for reformulation.

retail · regulatory · R&D

How the engine applies

One switch study in, a signature out. You bring the cohort's before/after exposure panels; the engine reads the exposure axis, computes the paired drop and significance, and returns a Signature Report that backs the claim.

Input · the switch Engine Output Baseline panels Week-6 panels Zenlo engine deterministic + AI · auditable Read exposure axis Paired Δ + significance Drivers & audit trail OUTPUT · SIGNATURE REPORT Exposure profile shift e.g. −31% phthalates (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

Exposure is measurable in days, not years. Most consumer-product chemicals clear fast, so a six-week switch shows up in the metabolites — these are the markers that move.

Plasticizers

Phthalate metabolites

Fragrance and plastic-borne phthalates, measured as urinary metabolites — the headline exposure marker.

MEP · MEHP · MBP

Preservatives

Paraben metabolites

Preservatives common in personal care and cleaners — among the fastest to fall after a switch.

methyl- · propylparaben

Phenols

Environmental phenols

Bisphenols and antimicrobials that track with packaging and formulation choices.

BPA/BPS · triclosan

Response

Inflammatory readout

The downstream biological response — whether a lower exposure load tracks with lower inflammation.

hs-CRP · oxidative stress

Who this is for

Any brand selling a lower-exposure swap. If the promise is "fewer chemicals in you" — cleaner home, laundry or body care — there's an exposure biomarker that should drop, and a cohort that can prove it.

Home & surface cleaners

«Non-toxic home»

Branch Basics Branch Basics Blueland Blueland Grove Co Grove Co Puracy Puracy ATTITUDE ATTITUDE

Branch Basics, Blueland, Grove Co, Puracy, ATTITUDE

Laundry & dish

«Free from the nasties»

Dropps Dropps Molly's Suds Molly's Suds Seventh Generation Seventh Generation Ecover Ecover Dirty Labs Dirty Labs

Dropps, Molly's Suds, Seventh Generation, Ecover, Dirty Labs

Clean personal care

«Low-tox on your skin»

Beautycounter Beautycounter Native Native Each & Every Each & Every Ursa Major Ursa Major By Humankind By Humankind

Beautycounter, Native, Each & Every, Ursa Major, By Humankind

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 or safety claims on the product's behalf.

Illustrative application

This page shows how the engine would apply to a household-product switch study.

  • 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 — down, flat, or up.

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

Not a medical claim

A measured exposure shift is evidence, not a diagnosis or a safety guarantee.

  • 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 switch cohort into a measured exposure signature; the number, and the claim it supports, come from the brand's own data.

Turn your switch study into a signature.

Send one cohort's before/after exposure panels and we return a Signature Report: the measured exposure drop, with an evidence trail your buyers and regulators can check.