Muir AI provides carbon intelligence solutions that enable corporations to accurately measure and reduce scope 3 emissions across their supply chains. By utilizing procurement data and advanced modeling techniques, Muir AI helps businesses identify emission sources, mitigate supply chain risks, and enhance sustainability efforts.
Funding
$3.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many corporations struggle to accurately measure and reduce scope 3 emissions across their complex supply chains due to limited visibility into upstream processes and a lack of comprehensive data. This makes it difficult to identify emission hotspots, assess supply chain risks, and meet increasing regulatory and stakeholder demands for sustainability.
Solution
Muir AI offers a carbon intelligence platform that leverages procurement data and AI-powered modeling to provide businesses with a comprehensive understanding of their supply chain emissions. The platform predicts material flows, builds trade maps, and assesses the cost, risk, and emissions contribution at each step of the supply chain. By identifying critical points and material choke points upstream, Muir AI enables companies to make informed decisions regarding suppliers, margin, and products, ultimately optimizing their sustainability strategy and improving their bottom line. The platform also streamlines emissions reporting for compliance with regulations like CBAM and generates automated recommendations for reducing emissions while considering cost and feasibility.
Target Audience
Muir AI targets corporations, particularly supply chain managers and sustainability professionals, seeking to measure, reduce, and report on their scope 3 emissions and improve supply chain resilience.
Features
- AI-driven models that predict materials and manufacturing processes from procurement data.
- Automated trade map generation to visualize the flow of materials throughout the supply chain.
- Impact assessment to understand cost, risk, and emissions contribution at each step.
- Scenario modeling across alternative suppliers to identify cost and emission reduction opportunities.
- Automated strategic recommendations for emission reduction considering cost.
- Customizable inputs to leverage Bill of Materials (BoM) and traceability data.
- Supplier input automation to streamline data gathering.
- ISO 14067 compliant methodology for emissions reporting.