Emmi delivers the market’s most accurate and comprehensive emissions data set. With full asset class coverage and a machine learning engine built by climate finance experts, Emmi supports climate reporting and investment decision-making in one solution.

We take a clear, data-driven approach, using company financials and real-world emissions data to produce investment-grade insights that outperform the 'market’s' traditional models.

Most providers rely on factor-based models that estimate emissions using sector-wide averages. Factor-based (intensity) models apply emissions factors per dollar of revenue, ignoring company-specific operations, scale, and performance. While a few are beginning to explore machine learning (what Emmi does), it's far from the norm. This leaves a market dominated by factor-based models that rely on assumptions and static frameworks, resulting in gaps. Emmi challenges that status quo with a transparent, adaptive approach built for the complexity of modern portfolios.