}

Agentic workflows that turn raw data into calculated results

Three specialised agents do the groundwork: one harmonises it, one matches the logic, one predicts what is missing. Each shows its work, with confidence, reasoning, and alternatives open for review, so the automation returns auditable results.

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Automated carbon calculations you can stand behind

Start from imperfect data
Non-standard ERP exports and spreadsheets become calculable without reformatting first.
Every output explained
Each result carries a confidence score, a rationale, and ranked alternatives, confirmed by a person before it counts.
Automation at portfolio scale
The agents do the heavy lifting across hundreds of products or locations and millions of rows.

Three agents at the core of the automation

The data integration agent harmonises messy data into a calculable format. The logic agent identifies the right logic to calculate impact, for example, selecting the emission factor. The prediction agent predicts the production processes and maps the tier-N supply chain network behind each product. Each agent shows its work rather than running as a black box.
How the three agents calculate a footprint
A machinery manufacturer uploads a raw ERP BoM export, thousands of rows in a non-standard structure.
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Harmonise the export
The data integration agent validates and harmonises it, resolving unit mismatches and missing descriptions, into a calculable format.
Match the logic
The logic agent matches every line to an emission factor, each match with a confidence score, a rationale, and ranked alternatives.
Predict what is missing
The prediction agent predicts the production processes involved, for example, the manufacturing steps behind a machined part, and labels every prediction.
Review and calculate
The team reviews the 18 low-confidence matches, adjusts the two that need it, and runs the calculation.

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Corporate Carbon FootprintProduct Carbon FootprintCarbon Border Adjustment Mechanism
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