- Identify areas of opportunity globally (green economy);
- Implement mechanisms to control and monitor forest lands and prevent risks;
- Determine areas of opportunity and reveal carbon sequestration sinks using vegetation cover data.
Platform
An Ecosystem for
Carbon Projects
We have developed an online platform
that is an ecosystem where all entities related to the
carbon credits market can interact.
By integrating all stakeholders into a single platform, we democratise access to carbon credit projects while simultaneously contributing to the full transparency of the process.
Utilising available digital technologies, including electronic databases, geographic information systems, remote sensing, artificial intelligence, and machine learning.
Using technology to verify and properly track the creation and sale of carbon credits will prevent fraud and ensure that the projects generating credits reduce GHG emissions, avoiding double counting and greenwashing.
Carbon Unit Accounting
- Use geospatial tools to calculate the baseline by estimating above-ground biomass for specific forests and vegetation;
- Utilise forecasting and predictive analyses to calculate additionality potential;
- Leverage meteorological data to predict areas at risk of drought or fire;
- Proactively implement projects in areas of greatest need for risk mitigation;
- Learn from short- and long-term climate trends.
Market
- Utilise a comprehensive blockchain platform to support the transaction of carbon credits, ensuring full traceability and transparency throughout the lifecycle of each carbon unit.
What Sets Us Apart
Leverage the use of available digital technologies, including electronic databases and geographic information systems, remote sensing, artificial intelligence, and machine learning.
Reduce the need for human intervention and auditing in carbon removal activities.
Utilise a science-based methodology and a technological approach, positioning Quellia as a trusted reference in the market.
Provide unique information about transacted carbon credits, avoiding double counting and greenwashing.
Use technology to verify and properly track the creation and sale of carbon credits, preventing fraud and ensuring that projects generating credits reduce greenhouse gas emissions.
Bring all stakeholders together on a single platform, democratising access to carbon credit projects while contributing to full transparency of the process.
IBM’s AI
Technology
IBM’s AI-based natural carbon capture technology allows for the measurement, reporting, and verification of carbon credits with high accuracy in both spatial and temporal resolution.
Carbon retention estimates in trees and soil are performed using AI techniques, with change detection to monitor carbon growth amidst events such as deforestation, wildfires, droughts, and storms in neighbouring areas. Additionally, estimates of carbon retention additionality and permanence are supported by real-time satellite data and projected climate trends.
Science-Based Quantification
Science-based quantification of carbon stored in soil and vegetation.
Combines Different Models
Combines different models to provide the best estimates of carbon sequestration, integrating all models and data.
Leverages Multimodal and Complex Data Sources
For the most accurate and transparent carbon storage prediction.
