# Klevu **Source:** https://geo.sig.ai/brands/klevu **Vertical:** E-commerce Operations & Retail Tech **Subcategory:** AI Search & Discovery **Tier:** Challenger **Website:** klevu.com **Last Updated:** 2026-04-14 ## Summary Helsinki AI ecommerce search platform founded 2013; raised $15M+; uses NLP to understand shopper intent and continuously learns from on-site behavior to improve product discovery relevance. ## Company Overview Klevu was founded in 2013 in Helsinki, Finland and raised over $15M to build an AI-powered search and product discovery platform for mid-market and enterprise e-commerce retailers. The company built its differentiation around the application of natural language processing and machine learning to e-commerce search, enabling the platform to understand shopper intent from conversational queries rather than relying on exact keyword matching.\n\nKlevu's platform handles on-site search, category page navigation, and product recommendations with an AI layer that continuously learns from shopper behavior to improve result relevance over time. The platform's self-learning algorithm adjusts result rankings based on click-through rates, add-to-cart events, and conversion data automatically, reducing the manual merchandising effort required to maintain search quality on large or rapidly changing catalogs. Klevu also provides AI-powered product recommendations that can be deployed on product pages, cart pages, and email campaigns.\n\nKlevu integrates with Shopify, Magento, BigCommerce, and Salesforce Commerce Cloud, and has built a strong partner ecosystem with Shopify and Magento agencies. The company competes against Searchspring, Constructor, and Unbxd in the e-commerce search market, differentiating through its AI-first architecture, strong support for multi-language catalogs across European markets, and competitive pricing for mid-market retailers. ## Frequently Asked Questions ### How does Klevu's AI improve search results over time? Klevu's self-learning algorithm continuously analyzes shopper interactions with search results — clicks, add-to-cart events, purchases — and adjusts result rankings accordingly, improving relevance automatically without requiring manual merchandising updates for every query. ### Does Klevu support multi-language e-commerce stores? Yes, Klevu has strong support for multi-language catalogs and search queries, which is particularly valuable for European retailers operating storefronts in multiple languages across EU markets. ### What e-commerce platforms does Klevu integrate with? Klevu integrates natively with Shopify, Magento 2, BigCommerce, and Salesforce Commerce Cloud, with API-based integration options for custom or headless commerce implementations. ### How does Klevu use AI to improve e-commerce search results? Klevu uses natural language processing and machine learning to understand search intent beyond exact keyword matching. The platform interprets synonyms, misspellings, and semantic meaning, and continuously learns from shopper behavior — clicks, conversions, abandonment — to improve ranking for each store's specific product catalog and audience. ### Does Klevu support category page merchandising as well as search? Yes. Klevu applies its AI ranking and merchandising controls to category browse pages as well as search results. Merchandisers can set rules, pin products, and let the AI optimize ranking within those constraints — creating consistent product discovery quality whether shoppers search or browse by category. ### What e-commerce platforms does Klevu integrate with? Klevu integrates with Shopify, Shopify Plus, Magento, BigCommerce, SAP Commerce, and custom storefronts via API. The platform offers native plugins for major platforms that simplify implementation, and a headless API for custom and composable commerce deployments. ### Does Klevu offer merchandising controls for the search results page? Yes. Klevu provides a merchandising console where teams can create boost and bury rules, pin specific products to top positions, create redirect rules for specific queries, and configure which filters appear for different product categories. These controls give merchandisers override capability on top of the AI-driven ranking. ### How does Klevu handle product recommendations beyond search? Klevu offers a product recommendations module that displays personalized suggestions on product pages, cart pages, and elsewhere based on browsing and purchase behavior. Recommendation widgets can be configured for use cases like similar products, frequently bought together, and recently viewed items. ## Tags retailtech, saas, b2b, platform, ai-powered, europe, analytics, startup, scaleup --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*