4 December 2025 · Kemchain team

Kemchain wins “Best AI Solution 2025” at AI4Beauty

Kemchain was named Best AI Solution 2025 among 15 proposals at FeelingAI4Beauty, organised by Feeling Innovation by Stanpa in Barcelona.

Kemchain won the Best AI Solution 2025 award at the first FeelingAI4Beauty, organised by Feeling Innovation by Stanpa at DFactory Barcelona on 26 November 2025. The event brought together more than 100 leaders from the cosmetics and fragrance industry and 15 technology proposals.

AI that solves the “data problem”

The jury highlighted that Kemchain applies AI to the data layer beneath the product: the documents and information about raw materials. Specifically:

  • Automatic reading and classification of supplier documents.
  • Extraction of composition, allergens and certifications.
  • Compliance checks against hundreds of lists.
  • Expiry and regulatory change alerts.
  • Traceability of every value back to its source document.

Takeaways from AI4Beauty that match our mission

  • No quality data, no useful AI. AI in formulation or marketing depends on reliable ingredient data.
  • AI must solve concrete problems, not be an experiment.
  • Regulation and sustainability are now the sector’s biggest data consumers.
  • Collaboration between brands, suppliers and tech companies to share data with trust.

A year of recognition

The award joins Best Service Company for the Cosmetics Industry at CosmeticaForum 2025 and CDTI NEOTEC funding. See all our awards on About us.

Looking ahead

Our priority is completing the data chain from supplier to customer: Kemchain Suppliers for incoming data, Formulations for the documents you generate and Clients to deliver them.

References

  1. Stanpa: FeelingAI4Beauty brings together over 100 leaders
  2. Industria Cosmética
  3. Revista VPC
  4. La Ecuación Digital
  5. NewsFragancias
  6. Interempresas

Updated: 11 November 2026

Funded by the European Union NextGenerationEU; Government of Spain, Ministry of Industry and Tourism; financed by ENISA; Recovery, Transformation and Resilience Plan; subsidised by CDTI, Government of Spain, Ministry of Science, Innovation and Universities