Three layers of AI for auditable carbon footprints at scale
Conversational AI, specialised agents, and an MCP that plugs it all into your own tools: from raw data to defensible results, with a human in the loop and every change auditable.
Review and refine carbon data in plain language, with conversational AI
The assistant sits beside the assessment and explains what is estimated and why, so the whole team can review a footprint without expert knowledge. It ranks the open gaps by impact and takes real weights and energy figures by chat or file, then parses, validates, and applies them in bulk.
Turn messy data into a calculated result, with three agents
Three specialised agents do the groundwork. One harmonises non-standard exports and spreadsheets so they become calculable without reformatting first. One matches each line to the right calculation logic and emission factor. One predicts the production processes and supply chain behind the product.
Run carbon calculations inside the tools you already use, via MCP
Connect an AI agent to our MCP and it does real carbon work instead of just answering questions about it.. Teams plug in the agent they already use and get a defensible footprint inside their own workflow. Partners embed it in the platform they run to offer carbon footprints to their customers, without building an LCA engine. A safety check validates every result before it is shared.
