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Meet the CO2 AI Agents.
Automated, high-quality sustainability data across your organization. Accelerate your progress to Net Zero.
Supplier ENGAGEMENT
Surface supplier emissions to prioritize engagement.
Reduce survey fatigue for your suppliers, track their maturity, and engage them on what truly matters.
Retrieves and analyzes public data (annual reports, CDP, SBTi, and more).
Correctly associates all parent/child companies with accurate entity recognition.
Provides emissions assessment in minutes, vs. months of surveying.
FOOTPRINTING
Scale high-quality corporate and product footprints in minutes across your portfolio.
Match emissions factors down to the substance level to identify precise, actionable reduction opportunities.
Fills in data gaps to ensure the highest quality (e.g. energy allocation).
Matches thousands of activities and products at once.
Provides a traceable path for auditing, complementing rule-based matching.
Pre-release
Data ENHANCEMENT
Obtain clean, structured data across your activities and products in one click.
Ensure the highest level of accuracy with automated corrections, transformations, and validation. No more tedious manual updates.
Formats raw data into clean, structured columns
Intelligently transforms data for consistency (e.g. unit conversion)
Corrects mispelling issues (e.g. location, ingredients)
Consumer goods
Reckitt: Using Gen AI to cut Scope 3 emissions
Reckitt, a leader in health, hygiene, and nutrition products, aims to cut its Scope 3 emissions by 50% by 2030 (vs. 2015 base year) and achieve Net Zero by 2040.
Having surpassed its initial targets for direct emissions, the company is now focusing on reducing Scope 3 emissions with the CO2 AI Agents.
In just under four months, Reckitt obtained precise emissions data for each of its 25,000 products, improving the accuracy of its emissions footprint by 75 times — moving from 333 representative products to 25,000. This data has revealed new ways to reduce emissions by 2030 and significantly contribute toward the Net Zero target.
Having surpassed its initial targets for direct emissions, the company is now focusing on reducing Scope 3 emissions with the CO2 AI Agents.
In just under four months, Reckitt obtained precise emissions data for each of its 25,000 products, improving the accuracy of its emissions footprint by 75 times — moving from 333 representative products to 25,000. This data has revealed new ways to reduce emissions by 2030 and significantly contribute toward the Net Zero target.
300,000
Data points collected
25,000
Products with precise emissions in CO2 AI
75x
Increase in emissions accuracy
Make an impact with a small, nimble team
70%
Time savings
Sustainability teams save weeks of emissions tracking and reporting.
300%
ROI from year one
Thanks to AI and automation, so your team focuses on decarbonization.
+60%
Reduction potential
Unlocked by increased precision and reliability in emissions measurement.
Latest news
Trusted by 100+ international companies
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