AgriTech platform & consulting services for regenerative agriculture | Empowering actors through the supply chains.

Sand to Green is an agri-tech and advisory company enabling the large-scale transition to regenerative agriculture.

We help agribusinesses, project developers, and investors design, deploy, and monitor high-impact land restoration and agroforestry projects—with clarity, speed, and scientific rigor.

Our core platform, RegenWise, combines satellite intelligence, agronomic science, and digital MRV to support the full project lifecycle:

• Land & site assessment to identify risks, constraints, and opportunities (soils, water, climate, land use)

• Project and system design for regenerative agriculture and agroforestry, tailored to local conditions

• Monitoring, Reporting & Verification (MRV) to track carbon, soil, water, and ecosystem performance over time

We leverage remote sensing, FAO-aligned datasets, agronomic research, and AI-assisted analysis to replace fragmented, costly field-based processes with scalable and decision-ready insights. Our approach is designed to bridge the gap between science, field implementation, and impact reporting.

Sand to Green works with leading research and technology partners, including CIRAD, CGIAR, and global data providers, ensuring our methodologies are scientifically robust and operationally applicable.

Who we work with:

• Agribusinesses & supply chain leaders: improve resilience, reduce risk, and support Scope 3, FLAG, and sustainability strategies with credible, farm-level insights.

• Investors & funds: strengthen due diligence, de-risk projects, and track impact through data-driven project design and digital MRV.

• Project developers & consultancies: accelerate project development with tailored designs, scalable assessments, and transparent reporting frameworks.

By combining project design, digital tools, and impact measurement, Sand to Green enables regenerative agriculture projects that are bankable, scalable, and measurable—from pilot to portfolio level.