Side-by-side comparison of AI visibility scores, market position, and capabilities
Unbxd is an AI-powered product discovery and site search platform for e-commerce, raised $15M+ and based in San Jose, CA.
Unbxd was founded in 2012 in San Jose, California and raised over $15M to build an AI-powered product discovery platform for e-commerce, with a focus on enterprise and mid-market retailers in the US and India. The company's platform replaces platform-native search and category navigation with AI-driven product discovery that learns from shopper behavior, improves result relevance over time, and provides merchandisers with tools to control and optimize the shopping experience.\n\nUnbxd covers site search, category browse, product recommendations, and an analytics suite that helps merchandising and digital teams understand how shoppers interact with discovery features and where revenue is being lost. The platform's merchandising console allows e-commerce teams to set up boost and bury rules, create search landing pages, manage synonyms, and configure redirect rules without engineering involvement, which is a requirement for most retail merchandising teams that operate on fast-moving promotional calendars.\n\nUnbxd has a notable presence in the Indian e-commerce market alongside its North American customer base, serving large retailers and marketplace operators in both regions. The company competes against Klevu, Searchspring, and Netcore in the product discovery space, differentiating through its strong presence in the Indian market and its combined approach of AI relevance and merchandiser control tools.
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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