Transition Planning Report

Close data blind spots with our technology, and go beyond EPC with the UK’s most advanced climate property dataset 

Assess and understand climate impact, get a real sense of risk exposure and uncovre climate pathways to 2030 and beyond

 Create data-driven decarbonisation targets. Act on real climate risk exposure and report to the regulator with ease

Get the complete view for all properties in the portfolio through geospatial modelling. No more costly risk blind spots due to incomplete or hard to read property data.

Harness the power of the UKs most advanced dataset to get the complete picture on environmental performance, benchmarked against the market. Get an accurate view the cost of reaching EPC C and above for every property.

2025 is the first year in which lender disclosures need to comply with ISSB-led regulations. IFRS S2 requires that lenders stress test their exposure to transition risk; our analytics are the first to provide this.

Our property risk segmentation breaks down the portfolio to highlight clear actions, risks and opportunities, based on the level of transition risk attached to each.

Establish an accurate financed emissions baseline by replacing out-of-date EPC data with up-to-date and location-based carbon intensity factors. Prove this to the market with industry-leading PCAF scores.

Benchmark your emissions and decarbonisation progress against industry and market averages to understand your climate standing compared to competitors.

Accurately reporting financed emissions allows for accurate year-on-year comparisons in future, with no need to restate emissions baseline when industry best practice finally catches up with inaccurate EPC data.

Make climate compliance straightforward with regular reporting on your financed emissions, ready to submit for climate-related financial disclosures.

Kamma takes a multi-modal approach to modelling missing data, allowing us to select the best approach for each property based on unique characteristics. Combining geospatial analysis and machine learning modelling ensures the top indicators of EPC similarity are applied for each unique property, instead of relying on a one-size-fits-all methodology.

We’ve predicted the EPC rating and emissions of every property in the UK. In testing, our model predicted the exact EPC rating for 80% of UK properties, and was within one EPC band for 99%.

Quality model inputs lead to quality model outputs. We’ve developed and trained our models using the market’s most advanced view on the climate impact of UK property.

Assess the impact of market and macro factors, from government policy to the decarbonisation of the National Grid, to get an accurate prediction of how portfolio emissions may reduce over time.

Use this assessment to set realistic and yet challenging targets. Avoid accusations of greenwashing with transparency and clarity on transition plans.

Underline the importance of effective government policy to support lobbying efforts. Track progress across all areas to identify drivers of decarbonisation.

Get clarity on the cost and impact of retrofitting, and set team targets based on the number of properties that need to include retrofit, in order for decarbonisation targets to be hit.

Let’s chat

Book in a call today with our climate experts to explore how climate analytics can help you plan for the climate transition, meet your reporting requirements and set realistic decarbonisation goals. 

Edward Twiddy

Co-founder, CCO & CSO