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Patient engagement platform

Show patients how their body is changing.
Patient privacy is assured.

Two smartphone photos return a full measurement set in ten seconds. The photos are deleted on delivery. The longitudinal record lives in your environment — the portal simply renders it, month after month, so patients can see the change a scale never shows.

See the progress view ↓ Talk to us about integration
0
Patient images stored
100+
Measurements per scan
<10s
Photo to full result
±½ in
Typical error on major measurements
Images deleted on delivery · No PII retained · Mobile or web-based scans · 2 issued patents + 1 pending
The scan

Two photos. Ten seconds. A full 3D body model.

No kiosk, no rotating platform, no wearable. A patient stands in front of any smartphone camera, front and side, and the model is reconstructed before they've put the phone down.

Video file not found Upload the clip to the site and point this player at it:
/img/SnapMeasureAI.mp4

Input → reconstruction → 3D output

01
INPUT
Two photos, any phone
One front, one side, in fitted clothing. No special pose, lighting, or background. The scan reads pose and joints first, then solves body shape.
02
MODEL
A 10,000-point 3D body model
A purpose-built neural network — trained on over a million body scans, 400,000 backgrounds and 90,000 poses, built on Cambridge research — fuses both views into one mesh.
03
OUTPUT
100+ measurements, handed over
Chest, waist, hips, inseam, neck, arm, shoulders, bicep, thigh, forearm and more — plus an OBJ export. Any measurement between any two points on the model is available.
Then it's gone. The photos are processed and deleted. What leaves our system is a set of numbers and a mesh — addressed to you, not held by us.
Longitudinal progress tracking

Month over month — rendered from your record, not ours.

This is the patient-facing view. Each month begins with two photos — front and side — that return a full measurement set in seconds and are deleted on delivery. The body model narrows as the numbers do, so a patient on a GLP-1 or weight-management program watches their own shape change over time. Every value shown is drawn at load time from the record your platform holds; we supply the numbers once, then forget them. The measurement readouts below stay masked because this is a demo with no patient data.

portal.yourprogram.com/progress
Illustrative — no patient data

Body change over time

Sponsor-branded patient view · powered by SnapMeasureAI

Patient ID · held in your system
Month 1
Scan date captured
WaistinBaseline
HipsinBaseline
ChestinBaseline
ThighinBaseline
ArminBaseline
Month 2
Scan date captured
WaistinΔ
HipsinΔ
ChestinΔ
ThighinΔ
ArminΔ
Month 3
Scan date captured
WaistinΔ
HipsinΔ
ChestinΔ
ThighinΔ
ArminΔ
Waist circumference — inches
import slot import slot import slot Month 1 Month 2 Month 3
Awaiting import The trend line draws itself the moment your first measurement set lands.
0 images stored 0 measurements retained by SnapMeasureAI 0 identifiers held outside your environment Rendered client-side from the sponsor's record

Two photos in, measurements out, images gone — and nothing retained on our side after every scan.

Data architecture

The line we don't cross.

Longitudinal tracking usually means a vendor accumulating years of patient photos. Ours doesn't. The measurement engine is stateless: it reconstructs, it reports, it forgets. Everything that persists, persists inside your governance.

Patient's device
Capture

Two photos plus height, taken in a mobile or web browser. Nothing to install.

  • Front and side, fitted clothing
  • Encrypted in transit
  • Any body type, skin tone, background
SnapMeasureAI · stateless
Reconstruct & report

The mesh is solved, the measurements are computed, the result is returned — in under ten seconds.

  • 10,000-point mesh, 100+ measurements
  • Images deleted on delivery
  • No measurement history kept
  • No patient identifiers, ever
Your system of record
Store & render

Measurements land in your environment, joined to your patient ID, under your retention policy.

  • You hold the longitudinal series
  • You control retention and deletion
  • Portal renders the trend from your data

← We return  ·  trust boundary  ·  you retain →

POST /v1/scan  →  200 OK Response shape · nulls stand in for the patient's values 
{
  "scan_id":      "sm_7f3a…",          // ephemeral — invalid once delivered
  "captured_at":  "2026-09-14T14:22:09Z",
  "units":        "in",
  "subject_ref":  "<your token — we never decode it>",

  "measurements": {
    "waist_circumference":  null,   // ← your patient's value lands here
    "hip_circumference":    null,
    "chest_circumference":  null,
    "thigh_circumference":  null,
    "arm_length":           null,
    /* …95+ further sites, or your own custom set */
  },

  "mesh": { "format": "obj", "vertices": 10000, "url": "<signed, short-lived>" },

  "retention": {
    "source_images":  "deleted",
    "measurements":   "not_stored",
    "identifiers":    "none_received"
  }
}
Why it matters in a weight-management program

The scale is one number. The body is a shape.

Engagement programs live or die on whether a patient has a reason to come back next month. A visible, measured record of their own body is one of the few reasons that compounds.

Cadence
A scan for every dose

Monthly-dosed therapies create a natural rhythm: one scan per dose, an objective checkpoint that arrives with the medication. Ten seconds, at home, no clinic visit — so the checkpoint actually happens.

Signal
Change the scale can't show

Across GLP-1 trials, the share of weight lost that came from lean mass has been reported anywhere from roughly a quarter to two-fifths.1 Circumference at trunk and limb sites shows patients where their body is changing — a complement to, not a substitute for, body-composition assessment.

Persistence
A reason to stay

In a US cohort of 125,474 patients starting GLP-1 receptor agonists, 46.5% with type 2 diabetes and 64.8% without discontinued within a year.2 Progress a patient can see is a lever on the months where the number on the scale stalls.

1 Neeland et al., Diabetes, Obesity and Metabolism (2024); reported lean-mass fractions vary widely by trial, population and method.
2 Rodriguez et al., JAMA Network Open (2025), retrospective cohort, adults with overweight or obesity.

Integration

Built to drop into a program you already run.

White-labelled, API-first, and deployable wherever your compliance team needs it to sit.

Delivery
REST API or hosted scan
Embed the capture flow in your app, or call the endpoint from your own front end.
Deployment
Shared, dedicated, or on-prem
Dedicated cloud tenancy and on-premise deployment available for enterprise agreements.
Branding
Fully white-label
The patient sees your program. We're happy to be invisible.
Output
100+ measurements + OBJ
Custom measurement sets defined per program — any two points on the mesh.
Cadence
You set the schedule
Monthly, weekly, per-visit. Each scan is independent — no session state to maintain.
Data handling
Custom agreements
Enterprise data-handling terms, including zero-retention attestation, on request.

Let's fill in the months.

Bring your measurement schema and we'll return a populated response against it — using your data, in your environment.

Talk to us about integration Try the free body scan →