AI skin intelligence

Skin you can
actually measure.

Mukod reads a single selfie with computer vision, grades 44 skin markers with honest confidence values, and writes a routine you can follow — then tracks whether it is working, week after week.

  • No signup
  • Privacy first
  • Photos not stored
  • Result in ~20s
  • Free in beta
Face being analysed by Mukod's skin scanning model
analysing · dermal texturegpu · 380ms

Glow

89

Barrier

84

Skin age

27

Redness

Low

Computer vision ·Vision transformers ·GPU inference ·Segmentation ·Multimodal reasoning ·Confidence calibration ·Vector retrieval ·Trend modelling ·Computer vision ·Vision transformers ·GPU inference ·Segmentation ·Multimodal reasoning ·Confidence calibration ·Vector retrieval ·Trend modelling ·

44

Skin markers scored

380 ms

Median inference

9

Scoring modules

2026

Built in Bengaluru

How it works

From selfie to signal, in under a second.

01

Capture

Camera or upload. Lighting, focus and framing are scored before anything runs.

02

Map the face

Detection, dense landmarking and segmentation isolate every region of interest.

03

Grade severity

Vision models rate each marker and attach a calibrated confidence value.

04

Compose routine

A reasoning model assembles morning, night and weekly steps from graded actives.

05

Re-scan weekly

Aligned rescans turn one reading into a trend you can actually follow.

Detection

44 markers, each one scored honestly.

Every prediction carries a severity value and a confidence value, so you can see where the model is sure and where it is guessing.

Breakouts

  • Blackheads
  • Whiteheads
  • Papules
  • Pustules
  • Cysts

Lines

  • Fine lines
  • Forehead
  • Crow's feet
  • Nasolabial

Tone

  • Melasma
  • Post-acne marks
  • Freckling
  • Sun damage

Texture

  • Pore size
  • Roughness
  • Oil load

Barrier

  • Hydration
  • Barrier health
  • Sensitivity
  • Redness

Eye area

  • Dark circles
  • Puffiness
  • Lip dryness

The report

A read-out you can act on.

Explore a sample report

assessment · run_4c19a

Skin report

inference 380 ms · gpu

Overall

86

Glow

89

Barrier

84

Breakout load34%

confidence 96%

Hydration71%

confidence 93%

Barrier health84%

confidence 91%

Pigmentation26%

confidence 89%

Pore visibility48%

confidence 94%

Redness17%

confidence 92%

Line depth22%

confidence 88%

Oil load58%

confidence 90%

Skin age

27

Risk

Low

Skin type

Combo

Trend

+11 / 30d

AI-generated assessment. Mukod offers educational skincare insight and is not a substitute for care from a qualified health professional.

Built on one engine

Six products, one measurement layer.

Scan

One selfie in, a full marker breakdown out.

Report

Composite scores, skin age and per-marker severity in one view.

Routine

AM, PM and weekly steps matched to your markers and budget.

Ingredients

Ask what an active does and whether it fits your skin.

Progress

Aligned rescans, trend lines and change alerts.

Clinic

Consistent intake records, exports and shared patient history.

Latency budget

Every millisecond accounted for.

01Capture32 ms
02Landmark44 ms
03Segment88 ms
04Grade168 ms
05Calibrate22 ms
06Report26 ms
total380 ms

Privacy

Face data, handled with care.

Nothing kept by default

Consumer scans are processed in memory and discarded.

Consent first

Explicit, revocable permission before any storage or training use.

Access logged

Every clinic record view and export leaves an audit trail.

Delete on request

Purge stored images and reports whenever you ask.

It behaves like a structured intake form that never gets tired — the same measurements, visit after visit.

Dr. Anita R.

Aesthetic clinic · Bengaluru

FAQ

Common questions.

Is this a medical diagnosis?+

No. Mukod gives educational skin insights and routine guidance. It does not diagnose or treat conditions, and it is not a medical device.

Do you keep my photo?+

Not by default. A consumer scan is analysed in memory and dropped once the report is returned. Saving history is opt-in.

How reliable are the scores?+

Every marker returns a severity value with a calibrated confidence figure, so a low-certainty reading is visible rather than hidden.

Do I need an account?+

No. You can run a scan and read the report without signing up. An account only exists if you want progress tracking.

Your skin, decoded in 20 seconds.

Free while we are in beta. No signup, and nothing stored unless you ask for it.