Emitwise vs a2z Radiology AI

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

Emitwise

EmergingClimate Technology

Enterprise GHG Management

Emitwise provides enterprise greenhouse gas management software with automated Scope 3 supply chain emissions calculation powered by machine learning.

About

Emitwise is a climate technology company founded in 2019 in London that has raised $15M to build enterprise GHG management software with a particular focus on automating the most difficult part of carbon accounting: Scope 3 supply chain emissions. The platform uses machine learning to classify procurement spend data into emissions categories, apply appropriate emissions factors, and calculate upstream and downstream emissions at scale without requiring suppliers to provide primary emissions data. This automated spend-based approach enables companies to quickly establish Scope 3 baselines that would otherwise require months of manual data collection. Emitwise integrates with ERP systems including SAP and Oracle to pull spend data automatically and provides supplier engagement tools for collecting primary emissions data from key suppliers over time. The company serves medium and large enterprises in manufacturing, retail, and professional services that have committed to science-based targets and need to address their supply chain emissions. Emitwise has found strong market fit in Europe where regulatory pressure from CSRD and customer expectations are driving corporate investment in Scope 3 measurement capabilities.

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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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