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Every blood test you've ever had gave you a list.

We built a map. One sample, one run, hundreds of markers, read as one body.

A wellness product, not a diagnosis. Nothing to buy yet — first invitations go out in order.

A BioMap: body-system squares, each labelled with its word, surrounded by the measured markers that feed them and the lines between them. Heart & lipid risk, in the middle, reads needs attention.

An alpha account's BioMap at its second test.

Same person. About a month later.

Two better. Three need more attention. Three unchanged. The map re-reads itself.

Since your last test

2 better · 3 need more attention · 3 unchanged

Two tests are a shift worth re-checking, not a trend.

An alpha account's BioMap, Test 1 to Test 2.

Join the waitlist

Most people stop at the word “heart.”

One fat balance, high. Four heart-tissue proteins, typical. The fats moved, the proteins didn't.

What's behind this

Heart & lipid risk

needs attention

24 markers measured · 19 outside typical

  • Omega‑6:omega‑3 balance (AA:EPA)

    arachidonic acid (an omega‑6 fat) to EPA (an omega‑3 fat)

    needs attentionwell above typical
  • Heart-tissue stress markers

    galectin‑3, fibronectin, lumican, vitronectin

    finetypical
  • Lipoprotein(a)

    finetypical

The heart & lipid view, opened.

Good. Fine. Watch. Needs attention.

No reading is called abnormal, and each one says which direction is better for you.

  • good

    past typical, on the favourable side

  • fine

    within typical

  • watch

    a little off typical; close to fine, worth a look next time

  • needs attention

    clearly outside typical in the direction that matters for this reading

watcha little above typical · lower is better here
belowtypicalabove
How a reading sits. The green band in the middle is typical for the study cohort; the dot is where a reading falls. Here lower is better, so just below typical is tinted green, and far past typical on either side is worth a check.

Your blood is an orchestra.

Proteins, metabolites, lipids, toxicants. Omni-MS records every section in one take — 100 µL, one run. Invented at UCLA, patented in six countries.

Austin QuachCofounder & Chief Science Officer, Dalton Bioanalytics · inventor of Omni-MS

  • Proteins
  • Metabolites
  • Lipids
  • Toxicants

Every reading is a position, not a verdict.

Measured against a study cohort: “well above typical”, never a number with units, and not a diagnosis.

375

interpreted

4,765

more measured, not yet interpreted

The counter on an alpha account's BioMap.

Ask out loud. She moves the screen to what she's explaining.

She explains any reading, shows you where it lives, and takes you through the rest, by voice or in text. When the answer is a doctor, she says so.

She won't

  • Tell you what's wrong with you.
  • Name a dose.
  • Tell you to start, stop or change a medication.

Shelly

Shelly's panel: "Hi, I'm Shelly! Welcome back. Since last time your Liver capacity went from watch to fine. Your Inflammatory load now reads watch (it was good) — want to see why? I can explain any reading, show you where it lives, and take you through the rest. A few readings are read with lower confidence this time — ask me why." Below it, a Talk to Shelly button and a text box.

Shelly's opening message, after the second test.

It starts free.

More oily fish before any supplement; each step tagged with its marker and a re-test window.

Your plan

A few things worth doing — drawn from your results, free first, never a prescription.

Start here — free first, from your report

1

Eat more B3-rich foods (meat, fish, legumes, whole grains) and protein foods

Vitamin B3 statusre-test in 6–8 wk

Not a prescription — the same list as your dashboard's “What to do now”.

For your top findings

Omega‑6:omega‑3 balance (AA:EPA)

needs attention

What could helpre-test 8–12 wk

Increase oily fish or dietary omega‑3

The plan, as the product lays it out.

One page, written for your doctor.

Built to be handed to them, not to go around them.

Sample context
Anything about the day of the sample that shifts readings, stated before any finding.
Ranked findings
Ranked the way the analysis ranked them, each with its cohort-relative score.
Favourable, reliably measured
What reads well, not only what reads off.
Change over time
What moved between tests, with its caveat attached.
DaltonWellMulti-omics dried-blood panel

Wellness test summary — for discussion with a clinician

Values are cohort-relative standard scores (z); this assay reports no absolute concentrations. Screening-grade wellness data — not a diagnostic result.

Sample context (applied as interpretation lens)

Ranked findings (pipeline order preserved)

  • Omega‑6:omega‑3 balance (AA:EPA) — high
  • Young red-cell fraction — markedly atypical

Favourable, reliably measured

Antioxidant reserves

Change over time

Caveat: Only 2 timepoints and cohort-z (no personal baseline or technical replicates), so individual-analyte change is unreliable…

The doctor page, top: its own headings and a few of its rows.

Five things we won't do.

Each one is enforced in the product.

  1. We never diagnose.

    You will see patterns worth attention — never “you have” a condition. Only a clinician who examines you can say that.

  2. We never invent numbers.

    No manufactured scores, probabilities, or “biological age”. If a number appears, it was measured.

  3. Counts, never risk scores.

    Condition checks read “3 of 7 linked markers lean toward” — a tally you can verify by tapping it, not a percentage.

  4. Your context reads first.

    Recent hard exercise, your cycle, a non-fasted sample — anything that shifts readings is shown as a lens before any flag.

  5. “Not measured” means exactly that.

    A marker we could not measure is said plainly — never silently dressed up as normal.

Test. Live. Test again.

One test is a note. It takes a few to hear the tune. First invitations go to the waitlist, in order.