Side-by-side comparison of AI visibility scores, market position, and capabilities
TripleWhale is an e-commerce analytics and attribution platform for Shopify brands, raised $25M+ and based in Columbus, OH.
TripleWhale was founded in 2021 in Columbus, Ohio and raised over $25M to build a data analytics and attribution platform for Shopify-based DTC brands. The company entered the market at the same time that iOS 14 privacy changes were undermining Facebook Pixel attribution, positioning TripleWhale as a solution to the attribution crisis that DTC brands were experiencing as their ability to measure paid social performance deteriorated. The platform grew rapidly through strong word-of-mouth in the DTC community.\n\nTripleWhale's platform consolidates e-commerce, advertising, and operational data from Shopify and connected advertising platforms into a summary dashboard that gives DTC operators a real-time view of their business performance. Its proprietary pixel collects first-party data to power attribution modeling that supplements platform-reported data from Meta and Google. The platform also includes creative analytics that help marketing teams understand which ad creative variants are driving the best performance.\n\nTripleWhale has expanded beyond its original analytics dashboard into a broader suite including a creative analytics tool, a ChatGPT-powered AI assistant called Moby, and a data science layer. The company serves thousands of Shopify DTC brands and competes against Northbeam, Polar Analytics, and Daasity, differentiating through its Shopify ecosystem depth, strong community presence in DTC marketing circles, and its product expansion into AI-powered business intelligence.
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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