Algolia buys Velou to deepen AI product data across 2T yearly searches
What's the deal? Algolia has acquired VelouDealroom has a profile for this one. Try Dealroom →, a New York startup that uses multimodal AI to pull context-rich data from product catalogues. Terms were undisclosed. Velou's catalogue enrichment, retail taxonomy and product graph will run beneath Algolia's search, recommendations and Agent Studio for its 18,000 customers.
What each company does: Algolia runs a retrieval intelligence platform handling nearly two trillion searches a year. Velou, built over eight years, reads product text and images to extract specific attributes against a curated retail taxonomy — serving more than 50 retail and premium brand customers.
What's the endgame? The problem: shoppers search in natural language, but listings often use a few words. Someone seeking a "machine-washable navy midi dress for a fall wedding" may miss a product tagged only "blue dress." Velou fills that gap automatically, without months of manual tagging.
The results so far: UK sportswear retailer Get The LabelDealroom has a profile for this one. Try Dealroom → added more than 190,000 product attributes over six months with Velou, lifting site-search revenue 60%. At UK fashion retailer Everything5poundsDealroom has a profile for this one. Try Dealroom →, catalogue attributes grew more than 85% and search conversions rose 33%.
Why now? Shoppers increasingly start in tools like ChatGPT, Microsoft Copilot and Google GeminiDealroom has a profile for this one. Try Dealroom →. AI-referred traffic to US retail sites rose 62% year over year in July, per Adobe AnalyticsDealroom has a profile for this one. Try Dealroom →. Those agents read structured product data rather than browsing pages.
What they're saying: "Algolia won search on speed. The future of discovery will be won on intelligence," said Algolia chief executive officer Stephen Lynch. Velou chief executive officer Gavin Hewitt added: "The race that matters now is contextual and relevant product understanding."
The signal: As agents become a front door for shopping, the quality of underlying product data decides what gets found. The deal marks a shift from competing on retrieval speed to competing on how well catalogues are understood — by both people and machines.
Read more: cmswire.com
Image credit: Artem Beliaikin
