Fragmented Data Across Origins
Supply-chain teams often work with inconsistent field data, disconnected tools, and limited visibility across suppliers, regions, and commodities.
Supply-chain teams often work with inconsistent field data, disconnected tools, and limited visibility across suppliers, regions, and commodities.
Without reliable satellite data, plantation monitoring, and standardized indicators, it is difficult to prove what is changing on the ground.
Regenerative agriculture programs need to move from pilot plots to thousands of farms while keeping data comparable, auditable, and actionable.
Companies need credible data for carbon reporting, Scope 3 reduction, insetting claims, ESG disclosures, and compliance frameworks.

Standardized Land Assessment: Analyze sourcing areas at scale using satellite, soil, climate, vegetation, and land-use data.
Prioritization of Field Interventions: Identify where regenerative practices are most needed, where risks are highest, and where interventions is needed.
Plantation and Agroforestry Monitoring: Monitor plantation health, vegetation dynamics, biomass & carbon evolution, and project performance.
Carbon Reporting and Insetting: Track carbon emissions through land use change emission factor and removals, to support Scope 3 and insetting strategies.
Portfolio-Level Scalability: Standardize data, dashboards, and reporting so teams can compare projects, suppliers, and geographies.

RegenWise is not a farm-management tool. It is a decision-support and MRV platform built for organizations financing, implementing, and scaling regenerative agriculture.
We combine 360° land intelligence, satellite data, agronomic models, and AI to help supply chains move faster, reduce manual analysis, and create audit-ready data for internal teams, partners, investors, and reporting bodies.

Our experts provide hands-on support to ensure your regenerative sourcing goals succeed: