The innovative CO2 AI platform is transforming how organisations calculate carbon emissions for large numbers of products, offering efficiency and accuracy through advanced computational methods and Generative AI.

CO2 AI is an innovative AI-powered platform designed to help organizations compute carbon emissions for large numbers of products efficiently and accurately. This platform simplifies the traditionally time-consuming and costly process of conducting Life Cycle Assessments by employing advanced computational methods and Generative AI. CO2 AI can match emission factors to product data in minutes, offering a significant advantage over traditional manual methods.

One notable adopter is Symrise, which utilizes CO2 AI to measure emissions for 10,000 raw materials across 90 production sites. This tool is positioned to facilitate greater transparency and consistency in tracking product-level emissions, supporting industry-wide decarbonization efforts.

Key trends emerging from this innovation include the integration of AI in sustainability platforms, comprehensive emission tracking across supply chains, and scalable tools that aid in the reduction of carbon footprints. The implications for industries include advancements in environmental technology, more sustainable supply chain management, and new applications of AI in promoting environmental sustainability.

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Ivan Massow Senior Editor at AI WEEK, Ivan, a life long entrepreneur, has worked at Cambridge University's Judge Business School and the Whittle Lab, nurturing talent and transforming innovative technologies into successful ventures.

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