AI-led data work
Advanced AI and LLM models process and map unstructured product and supply-chain data, helping teams measure impact at scale.
We help fashion and retail teams connect product and supply-chain data to the work of measuring, reporting and reducing environmental impact.
See Carbon Trail in actionWhy we exist
Through AI, machine learning and comprehensive lifecycle analysis, Carbon Trail enables brands and retailers to measure, track and reduce environmental impact at scale.
The aim is not another static report. It is a connected way of turning the data behind products, suppliers and operations into credible decisions.
How we work
Advanced AI and LLM models process and map unstructured product and supply-chain data, helping teams measure impact at scale.
Our LCA engine is trained with primary facility data in collaboration with hundreds of manufacturers, alongside a growing library of fabric LCAs and custom emission factors.
Carbon Trail helps enterprise teams measure entire collections while retaining the granular insight needed from farm and mill through to customer.
What guides us
Carbon Trail is building toward a more sustainable, climate-conscious fashion & retail industry. These are the principles that keep the work useful.
We bring data science, AI and machine learning into practical workflows for fashion & retail. Accurate data leads to more effective action.
Real change is shared work. We partner with brands, retailers and manufacturers to develop comprehensive decarbonisation strategies.
Knowledge matters when it becomes movement. We help fashion and retail teams turn insight into actions that reduce environmental impact.
The people behind Carbon Trail
Our founding team brings experience developing data, IoT and AI/ML products at Microsoft and other startups, alongside hands-on work in LCA and decarbonisation strategy for global retailers.

Sunrun | BCG | Kellogg | BITS-Pilani

Microsoft | Nanyang Tech University
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Copenhagen, 2300
San Jose, CA, 95123
New Delhi, 110062