MCF CLASSIFIER
What is MCF Classifier?
Medicine Carbon Footprint Classifier delivers fast, affordable, actionable carbon footprint insights for medicines. Our published, peer-reviewed AI-driven methodology turns a simple product list into powerful data—helping organisations to measure, benchmark, report, and improve the carbon impact of their medicines.
MCF Classifier is trusted by leading organisations including pharmaceutical manufacturers, medicine distributors, hospitals and academic researchers.
Our Solutions
MCF Product Report
Get comprehensive, third-party assured, cradle-to-gate carbon footprint reports for (almost) any medicine. Compliant with GHG protocol, PAS 2050 and ISO 14067.
MCF Comparison Report
Compare medicine emissions side-by-side with our standardised, contextualised analyses. Evaluate clinical scenarios, dosing regimens, manufacturers and more.
MCF Emission Analyses
Get comprehensive, compliant medicine emissions analyses across our full dataset. Ideal for supporting emissions reporting, supplier engagements, mitigation strategies and research.
MCF Data Extract
Need the raw numbers? Request the CO2e values for select medicines to empower your own research, analyses, and sustainability initiatives.
Why choose MCF CLASSIFIER?
Currently, standardised product-level medicine emissions data is very limited, yet medicines contribute ~25% of healthcare emissions.
MCF Classifier fills this gap using YewMaker's AI-driven technology and predictive modelling. Our solutions help you to:
Meet reporting requirements: Access product-level, compliant carbon footprint data that keeps you aligned with evolving standards.
Differentiate your products: Benchmark and communicate medicine carbon footprints to strengthen market positioning.
Act quickly and cost-effectively: We deliver actionable insights in weeks at a fraction of conventional costs.
MCF Method: An AI-driven Approach to Medicine Carbon Footprints
At the core of MCF Classifier is the MCF Method, an AI-driven process that uses data science and machine learning to predict the carbon emissions of medicines.
The method is grounded in Process Mass Intensity (PMI), an industry-standard metric strongly correlated with global warming potential.
By integrating empirical and modelled data MCF Classifier generates standardised cradle-to-gate carbon footprints for medicines, compliant with GHG Protocol, PAS and ISO standards.
To learn more about our methods, please read our open access paper.
MCF Formulary: Explore Medicine Carbon Ratings for Free
Alongside our tailored report solutions, we have created MCF Formulary—a free, interactive tool that lets you browse and compare per-dose carbon footprint ratings for ~4,000 medicines.
This educational resource gives you a firsthand look at a snapshot of our available data. We hope it will inspire you to consider ways to optimise the carbon emissions of medicines.
“We built MCF Formulary to give everyone free access to our unique MCF Carbon Ratings, empowering you to better understand and act on the carbon emissions of medicines. ”
Public Perception on Medicine Carbon Footprints: Key Insights
To better understand public sentiment on medicine carbon footprints we conducted quantitative and qualitative research.
Our findings highlight the growing demand for transparency and action on medicine-related emissions
“Our research shows most people want more transparency and more action on medicine carbon emissions. MCF Classifier delivers on that need, empowering choices that are better for people, the planet, and business.”