Emmi achieved improved emissions estimates, mixed emission scopes, and a new scope 3 methodology for high intensity sectors. Overall universe coverage has improved.

We are very excited to announce that Emmi’s Carbon Diagnostics universe and total-portfolio analysis data now incorporates reported emissions for public equities and public fixed income.

New internal apps introduced to investigate data points and process customer portfolios across all asset classes, improving efficiency and response times.

Adjusted risk analysis algorithms for asset classes with "duration", now using cumulative forward-looking analysis for Potential Carbon Liability calculations.

Implemented automated quality control checks for public equities and fixed income data, enhancing data reliability and integrity.

Implemented new data architecture ensuring reproducibility of emissions estimation and risk data, supporting FactSet partnership.

Migrated all data pipeline stages to AWS cloud infrastructure, including Machine Learning pipeline. Implemented Airflow for process automation, enhancing FactSet integration and data refresh capabilities.

NGFS continuously updates their scenarios to stay up to date with the latest climate and regulatory information. We have updated our implementation of the NGFS scenarios and can now apply these 7 NGFS scenarios and 3 IPCC scenarios to calculate climate risk on any of our supported asset classes.

New data release with enhanced accuracy and coverage. Key improvements include resolving BHP's dual listing bug, adding Scope 3 verification from top 200 public companies, refining predictions with better historical data use, updating meta-models, and focusing Scope 3 models on post-2019 data. Resulting in a ~2% improvement in Scopes 1 and 2 accuracy, minor enhancement in Scope 3, and expanded coverage to 5,460 companies in 2023.

Enhances accessibility and usability, allowing any team member to process data without data engineers, shifts to a Vue application for a better interface and integrates a fully configured API.

Our platform now consolidates companies with multiple share classes into a single entity profile, removing duplicate identifiers for streamlined portfolio analysis.

Upgraded machine learning module with reported emissions for top 100 private companies globally, refined tiered-approach for improved uncertainty limits, established a data quality hierarchy, and evaluated models against independent emissions data, including advanced financial imputation techniques.