Side-by-side comparison of AI visibility scores, market position, and capabilities
Berlin, Germany. Raised €20M+. Sustainability and carbon management SaaS for corporate ESG reporting, serving 200+ companies across Europe.
Plan A is a Berlin-based sustainability management platform founded in 2017 that has raised over €20M in funding. The company provides an integrated software solution for corporate carbon accounting, ESG reporting, and net-zero planning, serving over 200 companies predominantly in the DACH region and broader Europe. Plan A was one of the early European entrants in the corporate sustainability software market.\n\nThe platform covers the full ESG lifecycle, from data collection and carbon footprint calculation to materiality assessments, ESG scoring, and regulatory report generation. Plan A supports multiple reporting frameworks including GHG Protocol, CDP, GRI, and the EU taxonomy. Its module for double materiality assessment is particularly relevant for companies navigating the CSRD requirements that mandate identifying both financial and impact materiality.\n\nPlan A targets mid-size to large enterprises in Europe that need a comprehensive ESG platform rather than a point solution. It competes with Greenly, Normative, and Sweep in the European market. The company differentiates through its breadth of ESG coverage beyond just carbon, its consultancy network of sustainability experts, and its early mover advantage in the EU regulatory compliance space.
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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