Latest Product Updates

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.

Enhances Carbon Diagnostics by integrating carbon credits into portfolio analysis, offering a nuanced view of their impact on emissions, temperature alignment, and potential carbon liability.

A new tool offering in-depth decarbonisation and climate transition risk assessments for any company. Features include emissions factor insights, comprehensive risk analysis, peer comparison, emissions target tracking, climate scenario analysis, and Value-at-Risk calculations.

Introduces an internal Multi Asset Portfolio analysis infrastructure with a user-friendly Streamlit UI, enhancing efficiency and accuracy in Carbon Diagnostics across various asset classes.

Before this update, customers would have coverage gaps as a result of ISINs not finding their corresponding companies. These changes improve both the coverage and quality of carbon calculations within our customers' portfolios.

Assets Under Management (AUM) amount is now directly associated with each fund. This major update alleviates the unnecessary hassle of switching between funds and updating the AUM to get accurate financed emissions data.

As a follow-up from recent updates to the temperature alignment methodology, we have made some minor improvements to the Potential Carbon Liability modelling in the Emmi methodology.

As part of resolving a data incident involving data ingestion, we have made a number of notable improvements to the temperature alignment algorithm to help provide more accurate results.

As part of ongoing work to simplify the Emmi app, we have removed a calcualtion option around financed emissions, and opted for the EVIC approach as our default.

We have published a number of changes to better align Emmi's Carbon Intelligence app with our broader Carbon Diagnostics product. This update is largely terminology, content location and structure changes.

Financial data gathering and estimating carbon emissions for infrastructure assets is difficult but is the starting point to build a scalable PCAF aligned approach to quantifying carbon liabilities for infrastructure assets. To overcome customer data gathering hurdles, we have built a range of PCAF-aligned corporate carbon footprinting methods with the lowest amount of information needed.

We have now standardised our methods to quantify property and infrastructure asset and portfolio-level emission reductions under 1.5degC, 2degC and 4degC scenarios, temperature alignment and potential carbon liabilities. This adds to our capacity to deliver on multi-asset footprint and carbon liabilities for financial institutions.

Financial data gathering and estimating carbon emissions for financials property assets is difficult but is the starting point to build a scalable PCAF aligned approach to quantifying carbon liabilities for property assets. To overcome customer data gathering hurdles, we have built a range of PCAF-aligned corporate carbon footprinting methods with the lowest amount of information needed.

Emmi was awarded the Best Research Paper in climate finance at the 5th Annual GRASFI - Global Research Alliance for Sustainable Finance and Investment Conference.

We've released an easier tool for you to upload or build your funds (previously called portfolios).