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Redwood AI stock falls as much as 20% after record high
Redwood AI stock plunged in Toronto by as much as 20% after earlier reaching a record high of CAD 10.10. The pullback points to massive profit-taking and a technical correction following heavy speculation, but the month-to-date performance remains around +45%. Operationally the picture stays positive: British Columbia is funding a pilot project with CAD 300,000, the AI platform Reactosphere received an important update, and there is a collaboration with the University of British Columbia. As a young company after its IPO in February 2026, the stock reacts very volatile to news. » More on finanzen.net
Redwood AI expands Reactosphere with global price and availability monitoring
Redwood AI announces an update to its AI-based chemical synthesis platform Reactosphere that monitors prices and availability from more than 90 global suppliers and can integrate internal customer prices and inventories. The expansion is intended to help procurement teams identify alternative suppliers faster, reduce supply bottlenecks and optimize decisions taking tariffs and logistics factors into account. The project is partially supported by consulting services and up to $75,000 in funding from NRC IRAP to develop a scalable price data infrastructure, and is targeted particularly at pharmaceutical companies, CDMOs, research institutions and defense applications. » More on finanzen.net
Redwood AI launches research collaboration with Brent Page Lab at UBC on Alzheimer’s drug development
Redwood AI and the Brent Page Lab at the University of British Columbia have launched a joint research project to develop novel therapeutics against Alzheimer’s, focused on inhibitors of the protein NUDT5. Redwood will provide an AI-powered computing platform to design and evaluate synthetically accessible drug analogs, accelerating the selection of promising candidates and proposing prioritized molecules for synthesis and experimental testing. The Page Lab will perform the experimental validation, aiming to identify promising preclinical candidates more quickly. » More on finanzen.net
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