}

Conversational AI for guided data interaction

Review and refine carbon data in plain language, no specialist forms. Our conversational AI interacts with individual data points, creates analyses, and performs actions, with a human in the loop and every change auditable.

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Work with carbon data in plain language

Review without expert knowledge

The assistant explains what is estimated and why in plain language, so the whole team can review a footprint.

Prioritise by impact

It ranks the open gaps by their effect on the result, so effort goes where it moves the number.

Real data, applied at scale

Real weights and energy go in by chat or file upload, parsed, validated, and applied in bulk.

‍Auditable by design

The assistant suggests, the team decides, and every change stays auditable.
PCF ASSISTANT

A conversation layer over the platform

Embedded in the platform, the assistant opens beside the assessment and acts there, so you never switch tools. It holds a portfolio view of what is calculated, what needs input, and what has no PCF yet. Ask what a value means, whether it is estimated or measured and the reasoning behind it, then adjust values, add real data, and recalculate, in plain language instead of specialist forms.
IN ACTION: POOR MATCHES, RESOLVED
How the PCF Assistant gets a portfolio ready
A sustainability manager at a manufacturer opens the PCF Assistant on a freshly calculated portfolio, hundreds of AI-matched values waiting to be reviewed.
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Where to start
The assistant guides the review, reporting what is calculated, what needs input, and what has no PCF yet, and flags each item as high, medium, or low confidence.
What to fix first
It assesses data quality, ranks what to fix first by impact on the result, and judges how close the portfolio is to ready to share.
Poor matches, resolved
On a weak emission-factor match, it asks for material context, splits a composite BoM item into its constituent materials with separate emission factors, and carries the correction across identical items.
Real data, in the conversation
Primary data (real weights, energy, and allocation) goes in by chat or file upload, parsed, validated, and applied in bulk.
Recalculate and share
Readiness rises as the gaps close, every change stays auditable, and the footprints can be shared and explained line by line.

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Solutions
Corporate Carbon FootprintProduct Carbon FootprintCarbon Border Adjustment Mechanism
AI Capabilities
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