open-climate.ai

Still doing this manually?

Instantly compute GHG emissions from your procurement ledger.

AI agents map thousands of Scope 3 procurement lines to GHG-compliant emission factors in minutes. Built on open data, with every assumption logged.

Request early accessSee the agent in action
Drop your procurement fileOne tab, xlsx, xls or csv, up to 10 MB. Any shape, no template.Choose a file
  • EU hosting
  • Never used to train language models
  • Confidentiality guaranteed
What the file needs

Must have

  • One tab, one purchase per row
  • A header row, in any language
  • A column that says what was bought
  • An amount with its currency, or a quantity with its unit

Nice to have

  • Supplier name and country
  • Category, GL account or commodity code
  • Date or period of the purchase
  • Quantity and unit beside the amount

Live and free, no account needed

Just need a factor? Search the largest open factor library.

EPDsADEMECradle to gateElectricity by countryTransportSpend-based

474,800 factor values · 51 public libraries · FR and EN

Browse the 51 librariesDownload open data

Works inside the tools you already use

Who it's for

Built for the people who do the work

For consultantsClient files as they come, matched and explained, so your days go to the analysis.Read moreFor corporatesYour own purchase ledger in, an instant look at where your Scope 3 sits out.Read moreFor software vendorsMatching inside your product over MCP or REST, with the factors as open data.Read more
474,800emission factor values, open datamore coming
51public libraries, normalised into one modelmore coming
120k+procurement lines matched in early access

Open data

Our mission is to make high quality emissions data available to all

Search the libraryRead the open data docs

  1. Search every factor

    Free, no account

    Every public library, every value traceable back to the publisher's own row.

  2. Download a library

    Free account

    One library, one file, in the same schema as every other. Credits ride along with it.

  3. Sync it into your database

    Talk to us

    Scheduled sync into your own schema, same units, same versioning, every update.

What people say

  • A true game improver, freeing more time and resources for action
    DavidCountry Lead Belgium, SouthpoleCarbon accounting consultancy · Belgium
  • It's fascinating how far AI has come in matching emission factors. Much of the time spent on finding the right ones can now go to interpreting carbon footprints and their practical implications instead.
    MatthiasConsultant, plant valuesSustainability consultancy · Germany
  • In a couple of hours, open-climate.ai's MCP was integrated into Carbon+Alt+Delete.
    HanspeterCTO, Carbon+Alt+DeleteLeading GHG accounting tool · Belgium
  • A client file used to cost me a week of cleaning before the first number. Now I drop it in as it comes and spend the week on the analysis.
    ThomasSenior consultantCarbon accounting consultancy · Netherlands
  • Every match comes with the factor, the library and the assumption written out. That is what an auditor asks for, and I no longer rebuild it by hand.
    SophiePartnerSustainability advisory · France
  • We saw which suppliers carry our Scope 3 before the first questionnaire went out. The questionnaire got a lot shorter.
    AnnaHead of SustainabilityFood manufacturer · Germany
  • Thirty thousand SAP lines, matched over a lunch break, with an assumption log our auditor could read. Last year that was three months.
    KarimGroup Carbon ManagerIndustrial group · Netherlands

Try it on your own file

Send the file you already have. We run it, and you get the matched lines back with the reasoning on every one.

Choose a filexlsx or csv, any shape. No template, no cleanup week.
  • EU hosting
  • Never used to train language models
  • Confidentiality guaranteed