Carbon Removal & Sequestration

The Challenge

To limit global warming, humanity must remove billions of tons of CO₂ annually by mid-century. Current methods — from natural sinks to industrial capture — are expensive, hard to verify, and difficult to scale. Monitoring and optimizing these processes require advanced sensing, modeling, and automation.

Where AI Makes a Difference

• Measurement, Reporting & Verification (MRV): AI interprets satellite and sensor data to quantify CO₂ removal accuracy and permanence.
• Biological sequestration modeling: ML tracks forest growth, soil carbon, and ocean absorption for scalable nature-based solutions.
• Process optimization: AI optimizes parameters for DAC, BECCS, and mineralization to cut energy use and cost.
• Material discovery: Generative AI designs new sorbents and membranes with higher CO₂ selectivity.
• Lifecycle analysis: ML helps assess true net carbon impact across capture, transport, and storage.
• Verification automation: AI streamlines auditing for carbon markets and certification processes.

Example Applications

Key Metrics