One path: from an idea to an enquiry that carries codes

Six steps

1. 01

   AskAI search

   Ask the thing you are unsure about — "is this ingredient usable in the EU", "what substrate types exist for sheet masks". Short answers, every sentence sourced.

   You walk away withAn answer you can verify, without waiting for office hours.

   Open →
2. 02

   DecideSelector

   Category, market, budget tier — six steps. No formulation knowledge required.

   You walk away withA proposal: formula codes, sellable markets, MOQ, sampling time.

   Open →
3. 03

   Choose packagingPackaging library

   Browse real catalogue pages by pump, bottle, tube and jar, and note the code.

   You walk away withA packaging code, so both sides mean the same bottle.

   Open →
4. 04

   See itAI packaging design

   Drop in your brand name and a style description to see roughly how it lands before committing to a sample.

   You walk away withA few renderings for internal alignment — not for print.

   Open →
5. 05

   Write itAI co-creation

   Generate selling copy and a product page outline against your chosen formula and packaging, then edit it yourself.

   You walk away withA first draft you can rewrite.

   Open →
6. 06

   Send itContact

   Send the codes from the steps above and we skip the "so what do you want to make" round.

   You walk away withOne alignment, straight into sampling.

   Open →

What these tools stand on

Answers are retrieved from the libraries below rather than invented by a model. Every one carries a source you can open.

• 317formula specs
• 819catalogue pages
• 149ingredient records
• 99sourced market signals

A separate tool: AI skin analysis

This one serves your end customers and is not part of the sourcing path above. Put it in your store or on a product page: the customer self-tests, gets a directional read, and is routed to the matching product. It gives direction, not a diagnosis, and the page says so.