Side-by-side comparison of AI visibility scores, market position, and capabilities
Klevu is an AI-powered e-commerce search and product discovery platform, raised $15M+ and based in Helsinki, Finland.
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.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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