Planet A Foods vs a2z Radiology AI

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

Planet A Foods

ChallengerFood & Beverage

Food & Beverage

Munich YC cocoa-free ChoViva chocolate (sunflower+oats, 80% less CO2) in 42,000+ EU stores; $74.2M total ($30M Series B Dec 2024 Burda/Zintinus) with Barry Callebaut partnership Nov 2025 competing with Voyage Foods for cocoa supply chain disruption.

AI VisibilityBeta
Overall Score
C54
Category Rank
#5 of 10
AI Consensus
69%
Trend
down
Per Platform
ChatGPT
48
Perplexity
57
Gemini
53

About

Planet A Foods is a Munich, Germany-based food technology company — backed by Y Combinator with $74.2 million in total funding including a $30 million Series B in December 2024 co-led by Burda Principal Investments and Zintinus, and a $15.4 million Series A in February 2024, with investors including World Fund, Bayern Kapital, Cherry Ventures, Tengelmann Ventures, BayWa Venture, and Omnes Capital — providing chocolate manufacturers and food brands with ChoViva: the world's first commercially available cocoa-free chocolate alternative made from locally sourced sunflower seeds and oats through a proprietary fermentation process that delivers authentic chocolate taste while reducing carbon footprint by up to 80% versus conventional cocoa-based chocolate. Available in 42,000+ European retail stores and expanding to UK, France, and the US, Planet A Foods announced a landmark partnership with Barry Callebaut (world's largest chocolate manufacturer) in November 2025 for global commercialization. Founded in 2021, producing 2,000+ tons/year and targeting 15,000+ tons post-Series B.

Full profile

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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