Make regenerative agriculture bankable.
Green Finance 4 Earth translates agronomic, Earth observation, and climate risk data into decision-ready credit risk signals (PD/LGD) and investment insights—enabling scalable capital deployment into regenerative farming.
- Outputs
- PD / LGD signals
- Data
- EO + agronomy
- Focus
- Outcome-based
- Users
- Banks & investors
- Soil health trajectory Improving
- Yield resilience Higher stability
- Physical climate exposure Monitored
Note: dashboard values shown for illustration only.
Aligns outcomes with standard risk concepts, credit committee logic, and portfolio monitoring.
EO-enabled monitoring, auditable data lineage, and consistent indicators across farms and regions.
Supports pricing and structures where verified outcomes reduce risk and lower cost of capital.
The solution
Capital doesn’t scale into regenerative agriculture when outcomes are hard to measure and difficult to map to credit risk. We bridge that gap with analytics that connect outcomes to finance.
Outcome signals from EO + agronomy + climate models
Risk translation into PD/LGD and portfolio metrics
Decision support for lending, insurance, and investment
- • Credit memo inputs and monitoring
- • Outcome-linked pricing levers
- • Portfolio risk analytics (physical risk)
- • Investability screening
- • Impact integrity & reporting
- • Risk-adjusted allocation signals
- • Financing readiness assessment
- • Clear KPIs and improvement path
- • Speak the “bank language”
- • Scope 3 & resilience visibility
- • Outcome procurement programs
- • Pre-competitive benchmarks
Example mappings: soil health trajectory → yield stability → cash flow volatility → PD; land resilience → downside loss → LGD.
Product
A modular analytics stack that supports credit origination, monitoring, and outcome-based financing structures.
EO-derived indicators, farm data ingestion, quality controls, and auditable data lineage.
- • Field boundaries & crop cycles
- • Soil cover / vegetation dynamics
- • Water stress and anomalies
Translate outcomes into PD/LGD drivers and portfolio risk signals for bank workflows.
- • Yield volatility & downside risk
- • Physical climate risk exposure
- • Collateral resilience proxies
Credit memo-ready outputs, monitoring dashboards, and ESG/impact reporting packs.
- • Investment screening insights
- • Outcome-linked pricing inputs
- • Portfolio monitoring KPIs
How it works
From raw signals to bank-ready risk indicators—built for scale and auditability.
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Step 1Ingest
Farm, agronomic, EO, and climate data with QC and traceability.
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Step 2Quantify outcomes
Soil health, resilience, and exposure indicators computed consistently.
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Step 3Translate to risk
Map outcomes into PD/LGD drivers and monitoring metrics.
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Step 4Deploy capital
Enable outcome-linked loans, risk-adjusted pricing, and investor reporting.
Outcome-based use cases
Deploy finance where verified outcomes reduce risk and improve repayment capacity.
Rate, tenor, or covenants adjust based on verified resilience and soil health signals.
Premiums reflect outcome proxies that reduce climate-driven losses and volatility.
Third-party outcome payments improve DSCR and unlock bankable transition pathways.
Contact
Tell us your use case (bank lending, insurance, investment, supply chain). We’ll reply with a tailored demo flow.
- • 25–200 farms, 1–3 crops
- • Baseline + season monitoring
- • Credit memo + portfolio dashboard