We recognise that how we all use our resources today determines the kind of world we will live in tomorrow.
This is why we believe in fair trade in everything we do. Wherever possible, our offering is prepared with the finest locally-sourced, organic ingredients, lessening our impact on society and the environment.
Our packaging is manufactured from naturally occurring and renewable plant-based resources. Our locally-sourced products are recyclable, compostable or combustible – creating a closed loop that ensures the earth's natural cycle continues.
While we offer a full local delivery service, we offset our carbon emissions by actively participating in a global tree-planting initiative.
Café Societi Zero Carbon Footprint

All delivery carbon emissions are offset against reforestation

Transportation burns fossil fuels and generates emissions. Those emissions trap heat, leading the climate change. Through our certified partners your delivery order carbon emissions are neutralised.
Café Societi supports restoring nature to solve climate change.
Nature is powerful. Through our partner's data leveraging, artificial intelligence, and automation protects ecosystems, restores forests, and improves carbon markets.
We believe that better data in the hands of people who care can create a healthy, living planet.

How technology measures forests

Combine Satellite Data
Use of LiDAR imaging, a technology based on laser measurements that can create 3D representations of forests. This is supplemented with a range of other satellite data including high resolution imaging.
Identify Forest Features using AI
Artificial intelligence techniques are used to analyse this satellite data. Machine learning algorithms process vast amounts of data and identify features (such as tree crown sizes and shapes) that are used to estimate carbon.
Estimate Carbon
Satellite models are trained using a vast network of partner field plots. Models can then be applied to brand new forests, making carbon and biomass estimates without manually measuring more trees.
Track Forest Activity
Machine learning models is used to answer questions about forests. For example, the last 30 years of a forest’s history is modelled to infer what would have happened to the forest without a carbon project. And radar data is used to monitor forest canopy and catch deforestation as it may be happening.

Plan New Forest Projects
Our partner Pachama’s goal is to develop these tools into a suite that can be used by organisations and individuals to create new forest carbon projects, preserving and growing millions of hectares of forest worldwide.

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