Expanding Access to Forward-Looking Impact Data for Climate Investment Decisions

This project was an Advancing Workflows project supporting Prime Coalition with data migration of impact models in a searchable repository.

Project Outcomes

The Challenge

Climate investors, founders, and partners need reliable, forward-looking GHG impact data to make informed decisions about climate solutions. Prime Coalition’s legacy tool (CRANE) needed to migrate its model universe to Koi, a new impact modelling platform (by Rho Impact) to keep that data accessible and usable at scale.

Objective

The project set out to design and execute a repeatable workflow for migrating impact models from CRANE to Koi, while researching data and model gaps across CRANE models to guide future tool development, ultimately improving how founders, investors, and partners access forward-looking climate impact data.

Outcome

74 models on CRANE were cross-referenced against Koi, prioritised by model usage, to clarify where technology matches and gaps exist. This fed a two-part gaps analysis on the canonical model set: internal gaps within CRANE’s own models, and external gaps found by comparing CRANE against real-world climate investment data. Additionally, one migrated model was validated against its original CRANE source. Together, these findings inform priority recommendations for CRANE’s future data development.

Core Project Workflows

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