Sweep vs a2z Radiology AI

Side-by-side comparison of AI visibility scores, market position, and capabilities

Sweep

ChallengerSustainability

Carbon Management

London/Paris. Raised $73M. Carbon management platform for scope 1/2/3 emissions tracking and corporate sustainability, serving global enterprises.

About

Sweep is a carbon management platform co-headquartered in London and Paris, founded in 2021 and having raised $73M in funding. The company helps large enterprises and mid-market companies measure, manage, and reduce their carbon footprint across all scopes, with a strong emphasis on engaging the supply chain for scope 3 data. Sweep's software-first approach appeals to sustainability and operations teams at global companies.\n\nThe platform features an intuitive data collection layer that integrates with ERP systems, procurement tools, and supplier portals to aggregate emissions data. Sweep provides a visual carbon map showing emissions hotspots across the value chain, enabling companies to prioritize decarbonization investments. It also includes a dedicated supplier portal where vendors can submit their own emissions data, improving the accuracy of scope 3 calculations.\n\nSweep serves enterprise customers across industries including retail, manufacturing, and financial services. It competes directly with Watershed, Persefoni, and Greenly in the enterprise and mid-market segments. Sweep differentiates through its strong supplier engagement capabilities, its dual UK-France presence which supports both US and EU regulatory reporting needs, and a clean product design that reduces adoption friction.

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a2z Radiology AI

EmergingEnterprise AI

Medical Imaging AI

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.

About

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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