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Persefoni uses natively embedded AI and machine learning models – such as KNN-based clustering and Large Language Models – to analyze all of your transactions and calculations to flag data anomalies, fix data inconsistencies, and make smart recommendations. Get to your carbon footprint and reduction faster.
Leveraging our AI-driven error and anomaly detection and data mapping recommendations ensures you’re getting the right data into the platform. This cuts the time and resources you have to spend scrubbing your data and reduces the risks of having data errors surface in your climate disclosures.
Mapping appropriate emission factors to your activity data is a critical but time-consuming part of calculating an accurate carbon footprint. Persefoni’s AI models help streamline this step with recommended emission factors based on your descriptions of business activities.
