Farm-level climate risk intelligence for lenders, insurers, and agribusinesses operating in data-scarce markets.
ClimateScoring fuses satellite data, climate projections, and farm profiles into a single, interpretable risk score — giving every stakeholder the intelligence to price, lend, and insure with confidence.
Input crop type, acreage, soil classification, GPS location, and irrigation method. Build a precise digital fingerprint for each farm in minutes.
Satellite imagery, weather station data, NDVI indices, and IPCC-aligned climate projections — all fused into one traceable intelligence layer.
A composite 0–100 score with per-hazard breakdowns, 2030 projection horizon, and AI-powered mitigation guidance tailored to each farm.
"This data-driven approach enhances risk assessment, facilitates parametric insurance adoption, and improves trust and engagement with farmers. It's the intelligence layer we've been missing."
Climate risk varies dramatically from one field to the next — yet most portfolio assessments rely on regional averages. ClimateScoring gives lenders and insurers a farm-level score for every holding, so premiums, loan terms, and exposure limits can reflect what's actually happening on the ground.
Frontier agricultural markets present real data challenges — limited historical records, sparse ground stations, few comparable benchmarks. ClimateScoring uses satellite imagery, climate projections, and AI interpolation to generate reliable farm-level scores where traditional data sources fall short.
Climate risk is not static — what a farm faces today will look meaningfully different by 2030. ClimateScoring includes a forward projection horizon for every score, giving underwriters and credit officers visibility into how risk is trending, so decisions are built on where things are heading, not just where they've been.
ClimateScoring fuses satellite imagery, verified climate projections, and granular farm profiles into a single, interpretable intelligence layer. Each score is traceable to specific hazard drivers — giving every stakeholder a shared language for risk.
Structured onboarding collects crop type, acreage, soil classification, GPS coordinates, irrigation method, and historical yield data — building a precise digital fingerprint for each farm.
Satellite imagery, weather station records, NDVI indices, and RCP climate projections are fused with the farm profile to build a spatially precise, forward-looking risk model.
A composite score is generated with per-hazard breakdowns, projection timelines to 2030, and AI-powered mitigation recommendations tailored to each farm's specific risk profile.
Move beyond regional averages. ClimateScoring delivers farm-level hazard data that enables actuarially sound parametric product design, calibrated premium pricing, and trigger threshold setting — all grounded in verified science.
Integrate climate risk scores directly into credit decisioning. ClimateScoring enables lenders to quantify farm-level exposure, build climate-adjusted credit scorecards, and satisfy ESG reporting obligations — all from a single source of truth.
Understand the specific risks your land faces — drought, heat, flooding — and get AI-powered guidance on the interventions that will have the most impact. Build the verified farm records that unlock access to insurance, finance, and markets.
Identify where climate risk is concentrated, where adaptive investment has the highest return on resilience, and where regulatory and impact-reporting obligations require verified climate data. ClimateScoring gives development finance the evidence layer it needs.
Every score draws from a fusion of satellite, meteorological, and geospatial sources — grounded in verified climate science and calibrated against on-the-ground conditions. This isn't modelled noise. It's structured, traceable intelligence.
NDVI, NDWI, and land surface temperature indices from Sentinel and Landsat for fine-resolution crop health monitoring.
IPCC-aligned RCP 4.5 and 8.5 scenarios, disaggregated to regional scale for standard and pessimistic future conditions.
Historical and real-time ground truth from national and regional meteorological networks to anchor and validate model outputs.
Precise farm boundary and centroid coordinates enabling hyper-local risk assessment beyond regional aggregations.
Every report combines a composite score with hazard-specific breakdowns, driver analysis, and actionable mitigation guidance — in a format designed to inform decisions, not overwhelm them.
"When we can see climate risks clearly scored, it takes the guesswork out of pricing. It helps us design insurance that's fair, fast, and easier for farmers to trust."
"Climate scoring gives us a simple way to predict which crops are most at risk. It helps farmers plan better and protect their livelihoods before the damage happens."