Side-by-side comparison of AI visibility scores, market position, and capabilities
Mycelium fermentation platform for B2B food ingredients; $215M+ raised, produces FermentIQ mushroom protein used by major CPG brands globally.
MycoTechnology is an Aurora, Colorado-based food technology company founded in 2013 by Alan Hahn and Pete Lubar. The company uses mycelium fermentation to transform plant proteins and other agricultural inputs into superior food ingredients, primarily FermentIQ — a mushroom-mycelium fermented pea and rice protein blend that offers improved taste, digestibility, and amino acid profile compared to standard plant proteins.\n\nMycoTechnology has raised over $215 million in venture and strategic funding from investors including Tyson Ventures, General Mills Ventures, Kellogg's, Campbell Soup, and McCain Foods. The company operates as a pure B2B ingredient supplier, licensing its fermentation technology and selling FermentIQ protein to food and beverage manufacturers globally — appearing in sports nutrition, plant-based meat alternatives, and functional food products across dozens of brands.\n\nThe company's mushroom fermentation platform also produces ClearTaste, a bitter-blocking ingredient that enables food manufacturers to reduce sugar, salt, and artificial sweeteners in processed foods. By solving taste challenges that limit the adoption of healthier ingredients, MycoTechnology addresses a critical friction point in the reformulation of packaged foods toward better nutritional profiles.
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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