Every file arrives in a different shape
ERP exports, supplier sheets, scanned invoices, each one structured its own way. Most platforms demand a perfect match to their template, or the upload simply fails.
Agentic sustainability data processing
Spirefly reads your data as it arrives, messy exports and scanned invoices included, and structures it automatically.
Problem
ERP exports, supplier sheets, scanned invoices, each one structured its own way. Most platforms demand a perfect match to their template, or the upload simply fails.
When the software can't read raw files, your team does. Typos, unit fixes, and copy-pasting swallow the time you needed for decisions.
One misplaced copy-paste introduces an error nobody can trace back. Auditors are left without a record of how a number travelled from the raw file to your statement.
How it works
Value
What makes it different
No templates, no reformatting, no rigid column structures. Raw exports, scanned invoices, and supplier sheets in any language go in exactly as they are.
Every data point is programmatically reviewed by over a dozen quality checks. Outliers get automatically detected and reviewed, so you get results you can rely on.
Review the plan before anything runs, and override any match your team isn't confident in. You stay in charge, assisted by Spirefly's software.
Agentic data processing means AI agents do the data work a person would otherwise do by hand: reading each file, interpreting what it contains, and structuring it correctly. Spirefly applies this to sustainability data, so messy ERP exports, supplier sheets, and scanned invoices become accurate, structured inputs without manual entry.
Spirefly uses language models to read each file and interpret what it contains: columns, units, languages, and line items, in whatever shape the file arrives. The models do the reading and structuring. The calculations then run on deterministic code with fixed rules, so units are standardised and emission factors applied the same way every time. Automated checks review the output, and anything the system is unsure about is flagged for your team to confirm.
Spirefly reduces time spent on data processing by up to 80 percent. Sustainability teams normally lose weeks of every reporting cycle to typos, unit fixes, and copy-pasting into templates. That manual work is what Spirefly's AI agents automate away, giving your team time back for strategy.
No. There is no rigid template to match. Spirefly reads ERP exports, supplier spreadsheets, and scanned invoices in whatever shape they arrive and structures them for you, so the work of fixing units and formats no longer falls on your team.
Spirefly keeps every value traceable to the source file it came from. It logs each step it takes, from reading the file to converting units and matching emission factors, so you or an auditor can follow any number back to the raw input. Line items are matched against a knowledge base of verified emission factors, each with a confidence score, and over a dozen quality checks run on every file to catch outliers and unclear units. The rows the system is least sure about are flagged for a person to review before results are finalised.
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