Science & Technology

Evidence-based innovation, stated precisely.

We describe what our technology measures, how it was validated and what it deliberately does not claim. Everything on this page is written to be checkable.

Technology

How the assessment works.

Computer vision evaluates a set of visible skin attributes from a standard smartphone image, under consistent analysis conditions.

Image capture

A standard front-camera selfie in even lighting. No specialised hardware is required.

Attribute analysis

Clinically validated models evaluate visible attributes such as hydration appearance, texture, pores, redness, pigmentation uniformity and firmness indicators.

Interpretation layer

Aicona Labs translates raw attribute output into plain-language insights, educational context and a prioritised action list.

Longitudinal profile

In the app, repeat assessments build a timeline so change can be observed rather than assumed.

Technology partner

Powered by clinically validated analysis technology.

Our skin analysis is built on technology from an established beauty-technology partner. Partner naming, logos and specific validation statements are pending joint review before publication.

[ Perfect Corp. ]

Technology partner block — logo, description and validation statement pending approval.

Clinical validation

What has been validated, and by whom.

Expand each item to see what will be published. Every entry appears only with a verifiable reference. Nothing here is a medical claim.

Study design
Placeholder — pending approval
Cohort size
Placeholder — pending approval
Outcome measures
Placeholder — pending approval
Reference
Link published after joint review

Aicona Labs provides educational, evidence-based insights about visible skin attributes. It does not provide medical diagnosis or treatment.

Evidence timeline

How our evidence is being built.

Select a phase to see where it stands. This describes our review process, not clinical outcomes.

Complete

Technology selection

We selected an established beauty-technology partner for the underlying skin analysis. Partner naming is pending joint approval.

Status descriptions are process information, not clinical or medical claims.

Research & publications

Where our claims come from.

Filter and search the references supporting the educational content we publish. Each entry links to the underlying source once approved.

  • Photoprotection and cumulative photodamage — reference pending

    Photoprotection · Peer-reviewed · Pending

    Pending review
  • Barrier function and transepidermal water loss — reference pending

    Barrier · Review · Pending

    Pending review
  • Circadian regulation of cutaneous repair — reference pending

    Circadian · Peer-reviewed · Pending

    Pending review
  • Computer-vision assessment of visible skin attributes — reference pending

    Computer vision · Technical note · Pending

    Pending review

Downloads unlock as each reference is approved for publication. No summaries or figures are shown before then.

AI transparency

What the AI does — and does not — do.

  • It evaluates visible skin attributes from an image you provide.
  • It produces educational insights and prioritised suggestions.
  • It does not diagnose, treat or predict any medical condition.
  • It does not guarantee outcomes; results vary between individuals.

Privacy

Your data, on your terms.

  • Explicit consent is required before any image is analysed.
  • Personal data is never sold or brokered.
  • You can request deletion of your images and results at any time.
  • First-party data is collected only where it improves your own experience.

Professional adoption

Used alongside professionals, not instead of them.

We are building relationships with clinicians and institutions. Named partners will appear here after review.

[ Clinic partner ]

Pending approval

[ Hospital partner ]

Pending approval

[ University partner ]

Pending approval

[ Publication feature ]

Pending approval

Try it

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