Chemicals companies face unique decarbonization challenges: energy-intensive processes, complex value chains, and customers who need verified product carbon footprints. CO2 AI gives chemicals sustainability teams the platform to manage all of it.
The precision platform for chemicals decarbonization
CO2 AI handles the full complexity of chemicals carbon management, from process-level emissions to portfolio-scale PCFs, giving chemicals companies the data to lead in a carbon-constrained world.
Match millions of activity lines with high-precision emission factors from databases including EcoInvent and CarbonMinds.
Collect, verify, and integrate PACT-compliant product footprints from your suppliers.
Perform scenario analysis to simulate and select decarbonization initiatives, including with multi-step formulations and intermediates.
"With insights from CO2 AI, we embed our sustainability agenda and enable future resilience and opportunity in our products, our supply chain, and everybody's day-to-day activity."
David Croft
Global Head of Sustainability
Process-level emissions tracking
Compute emissions at process and facility level — capturing the full complexity of energy-intensive chemical production, including direct process emissions, energy consumption, and fugitive releases.
Product carbon footprinting at scale
Generate verified PCFs for your chemical products, compliant with ISO 14067, TfS, and PACT - at the scale and speed your customer base demands.
Energy transition modeling
Model the emissions impact of energy transition investments (fuel switching, electrification, green hydrogen) and build the business case for capital allocation decisions.
Customer PCF requirements
Downstream customers increasingly require verified PCFs for chemical inputs. CO2 AI helps you generate and share these footprints at scale, turning compliance into a commercial advantage.
TfS and PACT compliance
CO2 AI supports Together for Sustainability (TfS) and PACT framework requirements, the industry-standard approaches for chemical sector PCF exchange and supplier sustainability assessment.
CBAM exposure management
Model your Carbon Border Adjustment Mechanism exposure for chemical products traded across EU borders, and build the data case for minimizing CBAM costs through operational decarbonization.
Latest posts
The latest news in Chemicals decarbonization
Interviews, tips, guides, industry best practices, and news.
In our recent webinar, Pierre Cassedanne, Project Director at CO2 AI, and Arne Kaetelhoen, Managing Director at Carbon Minds, explored how companies can transform scattered data and coverage gaps into actionable Scope 3 strategies. Here are the key takeaways.
The Science Based Targets initiative just released sector-specific pathways for chemical manufacturers, covering everything from ammonia production to specialty chemicals. Learn what these eight pathways mean for your operations and how to prepare for implementation.
Discover how leading consumer goods companies leverage product carbon footprint data to identify and prioritize high-impact decarbonization opportunities across their value chains.
Everything you need to know about CO2 AI for the Chemicals industry
How does CO2 AI handle the complexity of chemical process emissions?
CO2 AI tracks emissions at process and facility level — capturing direct process emissions, energy consumption, and fugitive releases. Our AI handles the complex allocation methodologies required for multi-product chemical processes.
Does CO2 AI support TfS (Together for Sustainability) requirements?
Yes. CO2 AI is aligned with TfS methodology and generates PCFs in TfS-compliant formats, supporting both buyer and supplier roles in the TfS ecosystem.
How does CO2 AI help with CBAM compliance for chemical exports to the EU?
CO2 AI computes the embedded emissions in your chemical products at the level of detail required for CBAM declarations, and models your CBAM cost exposure under different carbon price scenarios, helping your finance team plan for this cost.
Can CO2 AI handle allocation across co-products in chemical processes?
Yes. CO2 AI supports multiple allocation methodologies, mass-based, economic, and causal allocation, allowing you to compute defensible PCFs for co-products and by-products in complex chemical processes.
How does CO2 AI support our energy transition investment decisions?
CO2 AI's scenario modeling lets you simulate the emissions impact of energy transition investments (fuel switching, electrification, green hydrogen adoption) and model their cost-effectiveness using Marginal Abatement Cost analysis, building the data case for capital allocation decisions.
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