Side-by-side comparison of AI visibility scores, market position, and capabilities
First US-approved cultivated meat company; $612M raised, USDA and FDA clearance in 2023, pioneering cell-cultivated chicken for commercial sale.
Upside Foods (formerly Memphis Meats) is a Berkeley, California-based cultivated meat company founded in 2015 by Dr. Uma Valeti, Nicholas Genovese, and Will Clem. The company produces chicken directly from animal cells without slaughter, using bioreactor-based cell cultivation. In June 2023, Upside Foods and GOOD Meat became the first US companies to receive USDA approval to sell cultivated meat commercially — a historic regulatory milestone for the food technology industry.\n\nUpside Foods has raised $612 million across seven funding rounds from investors including Tyson Foods, Cargill, Softbank Vision Fund, Bill Gates, and Richard Branson, at a valuation of approximately $1 billion. Commercial sales launched through a partnership with Michelin-starred chef Dominique Crenn at Bar Crenn in San Francisco, followed by additional restaurant partners. The company's engineering-grade production facility in Emeryville, California serves as both a pilot plant and a showcase for the cultivation technology.\n\nUpside Foods faces the significant challenge of scaling bioreactor production to commercially competitive costs. While regulatory approval is secured, food scientists estimate that cost parity with conventional chicken will require several additional years of manufacturing innovation. The company is widely regarded as the most technically advanced cultivated meat player in the US.
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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