Simply and efficiently aggregate, refine and extract the primary data your customers need so they can more accurately report on their Scope 3 environmental emissions and ESG requirements.
Unstructured environmental data is produced in huge quantities on a daily basis, most of which is hidden in Transport data, Supply Chain data, Building and Lease data and Product data to name a few, and spread across multiple systems and data lakes.
This is preventing reporting providers to be able to give their clients a complete picture of their environmental impact or set an accurate pathway of action to reduce their carbon footprint.
Our AI and ML solution takes the pain out of needing to utilise precious staff resources to churn data in order to find the insights you need to help your clients accurately declare your environmental and ESG reporting.
Deeper Data use a range of AI and Machine Learning engineering to crawl your clients environmental documents and unstructured, complex data and accurately extract the insights needed with low or no need for human intervention.
Take advantage of our advanced AI and ML tools at your disposal without requiring specialist in-house teams and expensive architecture builds. Our inhouse Data Science teams and Machine Learning Engineers have the knowledge and experience to handle complex data at scale.
Use AI and ML to give your clients a more complete picture of their impact across their supply chain and identify suppliers who have the lowest or highest carbon footprint and set actions for change.