
Incorporated in 2011, Catchoom is a private, VC-funded company and the first spin-off of Telefónica R&D. Catchoom offers visual search and automated product attribute solutions for retailers to make eCommerce operations more efficient by rich product descriptions, and enable better search and relevant recommendations within catalogs to boost conversion rates and enhance product discovery experiences. Catchoom's solutions for online Retailers include: - Visual search and scan-to-shop experiences. Retailers can allow shoppers to easily search their online product catalog by snapping a picture of a product in the real world, or interacting with catalogs and ads. Helping shoppers find the exact or similar items in the Retailer’s catalog to what their looking for, or leading them to engaging product information, reviews and promotions, increases conversion rates, enriches the product discovery experience, and facilitates upselling of visually similar but higher value items in specific categories. - Fashion-specific Artificial Intelligence solutions. Fashion eCommerce businesses can save time and costs, and reduce human errors by automating product onboarding and tagging items in the online catalog with fine-grained attributes. Catchoom’s solution provides more specific, better structured product descriptions that boost SEO and match searches with accurate results, thus increasing conversion rates. Working with leading global retailers in verticals such as Fashion eCommerce, Consumer Packaged Goods, Food & Beverages etc., Catchoom has powered more than 750 million real-world interactions and has facilitated over 30,000 product categorizations to date. Customers include Privalia, Migros, KLM, Shazam, Nordstrom, Uvinum and mymuesli.

Incorporated in 2011, Catchoom is a private, VC-funded company and the first spin-off of Telefónica R&D. Catchoom offers visual search and automated product attribute solutions for retailers to make eCommerce operations more efficient by rich product descriptions, and enable better search and relevant recommendations within catalogs to boost conversion rates and enhance product discovery experiences. Catchoom's solutions for online Retailers include: - Visual search and scan-to-shop experiences. Retailers can allow shoppers to easily search their online product catalog by snapping a picture of a product in the real world, or interacting with catalogs and ads. Helping shoppers find the exact or similar items in the Retailer’s catalog to what their looking for, or leading them to engaging product information, reviews and promotions, increases conversion rates, enriches the product discovery experience, and facilitates upselling of visually similar but higher value items in specific categories. - Fashion-specific Artificial Intelligence solutions. Fashion eCommerce businesses can save time and costs, and reduce human errors by automating product onboarding and tagging items in the online catalog with fine-grained attributes. Catchoom’s solution provides more specific, better structured product descriptions that boost SEO and match searches with accurate results, thus increasing conversion rates. Working with leading global retailers in verticals such as Fashion eCommerce, Consumer Packaged Goods, Food & Beverages etc., Catchoom has powered more than 750 million real-world interactions and has facilitated over 30,000 product categorizations to date. Customers include Privalia, Migros, KLM, Shazam, Nordstrom, Uvinum and mymuesli.
Founded: 2011 (spin-off of Telefónica R&D)
Headquarters: Barcelona
Product focus: Visual search, image recognition, AI product tagging, AR (CraftAR)
Customer signals: Worked with global retailers; powered hundreds of millions of interactions
Last known financing: Seed round closed May 2012; total disclosed funding $770,000 (USD)
eCommerce product discovery and product information management for retail, fashion, CPG and related verticals.
2011
Image recognition / Visual search / eCommerce SaaS
Seed round closed May 2012; public profiles report amounts as obfuscated though a total funding figure of 770000.00 USD is present in supplied evidence.
“Inveready is listed as an investor.”