Side-by-side comparison of AI visibility scores, market position, and capabilities
Searchspring is an e-commerce search, merchandising, and personalization platform, raised $35M+ and based in San Antonio, TX.
Searchspring was founded in 2007 in San Antonio, Texas and raised over $35M to build a dedicated e-commerce search and merchandising platform for mid-market and enterprise online retailers. The company addresses a well-documented problem in e-commerce: the search and category navigation capabilities built into platforms like Shopify, Magento, and WooCommerce are insufficiently powerful for retailers with large, complex catalogs, leading to poor product discovery experiences and lost revenue from failed searches.\n\nSearchspring's platform replaces the native search and navigation of e-commerce platforms with a purpose-built search engine that delivers fast, relevant results, intelligent faceted filtering, and merchandiser-controlled result ranking. The merchandising tools allow non-technical retail teams to customize search results, pin specific products, create redirect rules for common queries, and run A/B tests on search and category page layouts without engineering involvement. Personalization features use browsing and purchase history to tailor search results and recommendations to individual shoppers.\n\nSearchspring serves mid-market retailers across apparel, sporting goods, home goods, and other product-rich categories where search relevance directly impacts conversion rates. The company competes against Klevu, Constructor, and Coveo in the e-commerce search market, differentiating through its strong merchandising control capabilities that are particularly valued by retailers with large buying and merchandising teams who rely on manual curation alongside algorithmic ranking.
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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