N° XIIPhotography / Artificial Intelligence · 2026

THENN case study

Move the light across the painting

Field
Photography / Artificial Intelligence
What we did
Mobile App, Artificial Intelligence, Software
Timeline
Live since July 2026
Crafts
Mobile Apps · AI

THENN is our own product. People upload a few clear photos and the app produces magazine quality shots for life's biggest moments: pre-wedding, bridal makeup, the wedding day, maternity, newborn and family. Identity keeping generation means your face stays your face.

Results

100+Styles

8Languages

1Credit, one photo

IChallenge

In AI photography the real difficulty is likeness: however beautiful the frame, it is worthless if it does not look like the person. On top of that came multiple people in one frame keeping their own faces, eight languages, store review rules and a transparent consent flow around face data.

IIApproach

  1. 01

    An identity keeping generation pipeline preserves real facial features at every step, matching each face to its own reference in multi-person scenes.

  2. 02

    More than a hundred styles were crafted by hand: Santorini sunsets, Cappadocia balloons, Paris nights, wheat field maternity, knit bowl newborn, golden hour family portraits.

  3. 03

    Two quality modes were added, same model and same likeness, one for the finest detail and one for speed.

  4. 04

    Credit based packs replaced subscriptions: one credit, one photo, bought once.

  5. 05

    An explicit face data consent flow was written, showing what is sent, who processes it and how long it is kept, before the first upload.

  6. 06

    Release in eight languages, store review and version management were handled end to end.

✦Team note

A beautiful frame is not enough, it has to look like the person. The whole architecture was built on that.

IIITechnology

  • React Native
  • Expo
  • TypeScript
  • Image generation models
  • Object storage
  • IAP
  • EAS
N° XIIINext workAmennaReference / Lifestyle · 114 surahs