Powered by EarthOS, our AI Digital Twin of Earth, CYCLOPS transforms nature-based projects with scientifically rigorous, predictive insights at global scale.
Our modeling framework is grounded in peer-reviewed science and developed in collaboration with leading academic institutions.
By employing advanced machine learning techniques and ecological modeling, we ensure that our predictions are both scientifically valid and practically applicable.
The EarthOS digital twin operates at a global scale, yet offers localized insights tailored to specific project sites.
This dual capability allows for consistent monitoring across diverse ecosystems, ensuring that each project benefits from both broad context and detailed analysis.
In carbon markets, where the integrity of data directly impacts the credibility of credits, precision and accuracy are paramount.
Our digital twin provides stakeholders with reliable information, supporting informed decision-making and fostering trust in carbon markets.
Deep understanding of market dynamics, enabling us to provide insights that drive sustainable investment decisions.
Leveraging advanced satellite technologies and biogeochemical models to monitor and analyze environmental changes with precision.
Engaging in research partnerships that bridge the gap between theory and practical application, ensuring our solutions are both innovative and effective.
Brings a wealth of experience from managing teams at leading commodities trading firms and spear-heading tech-driven initiatives focused on global forestry and agriculture.
Renowned for his work in remote sensing and environmental monitoring, with a strong academic background and numerous publications.