What is Earth Science AI?
Earth Science AI is the pioneering technology that powers Cervest’s Climate Intelligence platform, EarthScan.

We have fused artificial intelligence and machine learning with methodologies from statistical science and relevant physical science domains and modern scalable computing practices. This enables us, for the first time, to process, model and analyse petabytes of data to extract the asset-level climate signals that matter most to decision makers.

It fuses real-time data gathered from global sensors with historic data and advanced forecasting to enable insights into the past, present and – most importantly – future of millions of assets worldwide.

Unified, on-demand climate intelligence
Earth Science AI translates asset-level climate complexity into actionable intelligence.

Uniquely, Earth Science AI enables a unified view of climate risk by continuously analyzing various risk factors and events that affect assets’ operations, supply chains and the wider ecosystems on which they depend – now and at any future date.

In Earth Science AI, we’ve developed the ability to process unprecedented capabilities: quantifying uncertainty across climatological and statistical models, blending signals from complex datasets, and then scaling them to resolutions that matter to decision makers.

High-resolution, high-certainty decisions
For enterprises, governments and NGOs, Earth Science AI provides decision-ready insights.

Whether asset planning, optimizing portfolios, managing operational risk, carrying our due diligence or scrutinizing growth opportunities, Earth Science AI enables decisions that are fully climate-informed. 

Ethics at its core
The kind of great knowledge enabled by AI confers great responsibility – one that we regard with the utmost seriousness.

Uniquely, Earth Science AI enables a unified view of climate risk by continuously analyzing various risk factors and events that affect assets’ operations, supply chains and the wider ecosystems on which they depend – now and at any future date.

In Earth Science AI, we’ve developed the ability to process unprecedented capabilities: quantifying uncertainty across climatological and statistical models, blending signals from complex datasets, and then scaling them to resolutions that matter to decision makers.