Yoona.AIInformation technology & services1 / 20Read in the app

Pitch deck

Yoona.AI's pitch deck

The deck, and the round we watched Yoona.AI raise afterwards, with the investors each report named.

yoona.ai is a Berlin-based B2B AI software company that serves fashion and retail teams. It offers an Enterprise Twin and agentic AI platform that creates an adaptive digital twin of a brand. This platform integrates product, market, and operational data into a single intelligence layer, enabling smarter merchandising, planning, and commerce. The company provides AI agents that assist with end-to-end product creation and commercial decision-making. Key features include trend and market analysis, product and collection creation, sell-through scoring, demand prediction, and workflow automation. Its modular AI agents and broader platform support various functions, helping teams streamline processes and reduce time, cost, and waste in fashion development. The platform is designed to connect systems like PLM, ERP, and e-commerce, facilitating a continuous loop from market signals to published products.

20 slides0.4MBDEInformation technology & servicesArtificial intelligence (AI)

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What is in it

The deck, slide by slide

Each slide by what it argues. 20 slides against a median of 13 across the 1,712 decks we hold.

median
  1. 1Cover
  2. 2Solution
  3. 3Team
  4. 4Market
  5. 5
  6. 6
  7. 7Vision
  8. 8Market
  9. 9Product
  10. 10Product
  11. 11Vision
  12. 12
  13. 13
  14. 14Business model
  15. 15Go to market
  16. 16Validation
  17. 17Market
  18. 18Market
  19. 19Product
  20. 20Contact

CoverSolutionTeamMarketVisionProductBusiness modelGo to marketValidationContact

  1. Sept 2025

    Seed$1.8M

    EXPERT DOJOGoogle for StartupsTechstars

    Source recorded

Everyone who backed Yoona.AI

Yoona.AI pitch deck, cover slide1 / 20

The deck itself

Read Yoona.AI's full pitch deck

All 20 slides, each read for what it argues and set against the decks that raised at the same stage. The cover is shown here; the rest is read in the app.

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