How we create a better future together
Our customers
Empowering sustainability journeys
We enable global organizations to harness the power of their sustainability data in one platform.
We help midmarket firms grow a successful, sustainable business.
We work with financial institutions to map carbon data across their investment portfolios.
Success stories
Customer spotlight
A simple approach to complex problems
Select to filter case studies by solution
How CNW IT-Systeme leveraged Sweep to reduce operational costs by 12%
How Circet measures its GHG footprint from Scope 1 to 3 and collects ESG data with Sweep and Axionable
How Mobilize Financial Services measures and reduces its financed emissions with Sweep
How the Beaumanoir Group consolidates emissions data from multiple global fashion brands with Sweep
How Groupe Rosa switched from spreadsheets, to sustainability data confidence with Sweep
How Crédit Agricole Nord Midi-Pyrénées swapped spreadsheets for simplicity with Sweep
How Caudalie centralized and simplified its data collection with Sweep
They trust Sweep
Customer testimonials
Find out what some of our customers have to say
“With Sweep, we now have all of our climate and nature data in a structured, easy-to-read format that we know is a single source of truth. We no longer have discussions around which version is correct – we know that the data in Sweep is accurate, enabling us to report information to external partners at the click of a button.”
“The Sweep software allows us to look at all the impacts of our value chain very quickly and very fluidly. We can go into detail straight away and know our precise impacts.”
“With Sweep we can monitor our carbon footprint and take corrective action. As an online marketplace, we’re then in a position to drive thousands of sellers to more sustainable practices”
“Sweep’s emission monitoring dashboards make it easy for asset managers to communicate and answer questions from our investors about financed emissions, carbon intensity, and data quality. The software enables us to filter by branch, by fund, or by company, which will be useful to simulate different reduction scenarios.”
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