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Equilibrium AI
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Equilibrium AI

by EquilibriumAI

See the carbon you don't see

About This Project

Scope 3 emissions account for 80 to 90 percent of total emissions for most consumer product companies, yet they are the least understood because they span the entire value chain, including raw materials, suppliers, manufacturing, and transport. Today, companies rely on industry-average databases, annual reports, and manual data collection, leading to highly inaccurate estimates where vastly different suppliers and shipping routes are treated the same. This results in poor product-level visibility, expensive consultants, messy spreadsheets, and decisions based on guesswork rather than real insight. Small and mid-sized companies face an even greater challenge because they cannot afford large sustainability teams, yet they still need credible carbon metrics to stay competitive within regulated supply chains. EquilibriumAI solves this by enabling stakeholders to upload unstructured data such as purchase orders, invoices, shipping labels, and PDFs, which our AI system extracts, enriches with manufacturer and transport sustainability data, and converts into structured, product-level emissions estimates. We then provide actionable insights and a clear sustainability score, allowing companies of any size to understand and reduce their Scope 3 emissions without requiring environmental expertise.

Built With

BEM
Replit

Repository

Python100%
Last commit 5 months ago

Submitted February 14, 2026 at 3:46 PM