Carbon Centrum provides a mobile platform for individuals to automatically track and quantify their personal carbon footprint across mobility, shopping, and home energy. It uses machine learning and Open Banking integrations to offer real-time insights and incentivizes emission reductions with financial rewards.
Funding
$30K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Individuals struggle to accurately quantify their personal carbon footprint across various activities, hindering their ability to identify areas for reduction. Existing methods are often manual, time-consuming, and lack real-time feedback, making it difficult to track progress and stay motivated.
Solution
Carbon Centrum offers a mobile-first platform that provides real-time carbon footprint measurement and automated tracking for individuals. Leveraging edge computing and machine learning algorithms, the platform analyzes mobility patterns, shopping habits via Open Banking integrations, and home energy consumption through partner APIs. Users receive a personalized CarbonID™ that quantifies their environmental impact across multiple categories. The platform incentivizes emission reductions by offering financial rewards for achieving reduction targets and fosters a community focused on climate action.
Target Audience
The primary users are environmentally conscious individuals seeking to understand and manage their personal carbon footprint, as well as those motivated by financial incentives for sustainable behavior.
Features
- Real-time carbon footprint calculation using on-device edge computing for privacy.
- Automated tracking of mobility patterns via machine learning algorithms analyzing transportation modes.
- Integration with Open Banking platforms for aggregated purchase data analysis to assess shopping-related emissions.
- Collaboration with energy providers (e.g., Elvia, Tibber) to ingest home energy consumption data.
- Categorization of emissions and avoided emissions across mobility, shopping, and home energy.
- Financial reward system for users who meet defined emission reduction targets.
- Community features to connect users and promote collective climate action.
- Support for up to 25 analyzed categories within the CarbonID™ framework.