Muir AI puts machine learning to work estimating product emissions data
Summary
So it’s reasonable to assume that smaller companies have a much harder time estimating the carbon footprint of their products. For most tangible products, everything from materials to manufacturing to distribution leaves a carbon footprint, and not all vendors report their emissions. “The majority of a company’s emissions are within their supply chain — more than 70% for the average corporation,” Harris Chalat, co-founder and CEO of Muir AI, told TechCrunch+. They can ask nicely or they can have their contracts require vendors to supply auditable emissions data, but most companies don’t have the sort of leverage over suppliers that Apple does to accomplish that. If that data is unavailable, Muir AI uses the information in their databases combined with clues from the rest of the customer’s supply chain to make “probabilistic” assumptions about the carbon impact of the component, said Peter Williams, the company’s CTO.