CredicropsCredicrops
Satellite VegetationSoil · pH · CTC · ClayClimate PatternsLand Use & Crop ClassificationProductivity · Historical PerformanceEnvironmental ComplianceLogistics ViabilityLand RegistryHydrographyInfrastructure · Roads · Energy · IrrigationTopography & ReliefDetailed Soil ChemistryTemperature & Thermal RangeClimate Risk by RegionAdvanced Spectral Indices · NDWI · SAVI · EVICrop Phenological StagePhytosanitary RiskFire HistoryWater BalanceProduction Cost EstimatesStorage CapacityRegional Productivity IndicesProductive VolatilityData Coherence · Declared vs SatelliteSatellite VegetationSoil · pH · CTC · ClayClimate PatternsLand Use & Crop ClassificationProductivity · Historical PerformanceEnvironmental ComplianceLogistics ViabilityLand RegistryHydrographyInfrastructure · Roads · Energy · IrrigationTopography & ReliefDetailed Soil ChemistryTemperature & Thermal RangeClimate Risk by RegionAdvanced Spectral Indices · NDWI · SAVI · EVICrop Phenological StagePhytosanitary RiskFire HistoryWater BalanceProduction Cost EstimatesStorage CapacityRegional Productivity IndicesProductive VolatilityData Coherence · Declared vs Satellite

The data infrastructure
that transforms land into decision-making.

We organize, standardize, and connect agronomic, geospatial, environmental, legal, and production data into a single infrastructure — creating a reliable digital representation of each rural property.

How it works

Not just aggregation.
Intelligence pipeline.

Raw data from satellites, climate stations, land registries, and environmental records — ingested, unified, cross-validated, and enriched into a single, verified representation of every rural property.

AI-powered analysis

Credicrops uses AI engines on top of raw territorial data. First, we process satellite spectral data and calculate territorial indicators — vegetation health, soil exposure, water stress, land use behavior, and historical patterns. Then, we orchestrate AI agents to analyze these signals from different perspectives: one agent analyzes environmental risks, another analyzes land use coherence, another detects anomalies and possible inconsistencies. This creates intelligent land reports ready to support credit decisions, insurance models, compliance workflows, and rural property analysis.

01

Collect

Satellite, climate, soil, land registry, environmental records — 20+ sources.

02

Normalize

Every source unified into a single schema. Consistent, comparable, machine-readable.

03

Correlate

Cross-signals across domains: satellite vs declared, climate vs productivity.

04

Enrich

Derived insights: risk scores, coherence flags, productivity benchmarks.

Credicrops

Credicrops

Verified · Normalized · Enriched · Decision-ready

API · Data Access

Raw access to normalized and enriched data for agritechs, banks, insurers, and supply chain companies.

REST APIWebhooksBatch Export
View API docs
Solutions

Pre-built intelligence products — Credit Risk, Property Report, Insurance Pricing.

Access platform
Multi-spectral coverage

20+ layers of
territorial intelligence

NDVITHERMALWATERSAR

Satellite Vegetation

NDVI

NDVI/EVI time series since 2015. Trend, consistency, crop health.

Soil & Suitability

pH, CEC, clay, organic matter, effective depth, water retention.

Climate Patterns

WATER

Precipitation, water deficit, extreme events, seasonal forecast.

Land Use & Classification

NDVI

Current use, recent conversion, agricultural vs. native ratio.

Observed Productivity

Historical performance, area stability, regional benchmark.

Environmental Compliance

NDVI

TAX ID, APP, Legal Reserve, IBAMA embargoes, PRA adherence.

Logistics Viability

Distance to warehouses, highway access, grain flow costs.

Land Registry Data

INCRA fiscal module, property classification, TAX ID data.

Hydrography

WATER

Water availability, water bodies, flood zones, water rights.

Area Fragmentation

Field size and shape analysis and operational impact.

Internal Infrastructure

Roads, energy access, installed irrigation systems.

Energy & Electrification

Power for pumping, drying, and field operations.

Topography & Relief

Slope, altitude, solar orientation, erosion risk.

Detailed Soil Chemistry

Micronutrients (Zn, B, Cu), base saturation, toxic aluminum.

Temperature & Thermal Range

THERMAL

Averages, extremes, and impact on crop development.

Wind

Speed, gusts, evapotranspiration and stress impact.

Agricultural Zoning (ZARC)

NDVI

Crop suitability relative to climate risk by region.

Advanced Spectral Indices

SAR

NDWI (moisture), SAVI (bare soil), EVI (dense vegetation).

Soil Compaction

Restrictive layers, root impedance, infiltration.

Water Balance

WATER

Water input vs loss, evapotranspiration, drought stress.

Crop Phenological Stage

NDVI

Vegetative, flowering, and maturation phase detection.

Phytosanitary Risk

THERMAL

Pest and disease probability based on climate and history.

Management History

Fertilization, liming, crop rotation, adopted practices.

Fire History

THERMAL

Fire occurrence and its impact on productivity and soil.

Estimated Production Costs

Based on region, crop type, and logistics.

Storage Capacity

Proximity and availability of silos and warehouses.

Regional Indices

Regional average productivity and economic history.

Productive Volatility

Year-over-year oscillation and structural risk.

Data Coherence

SAR

Declared info vs. satellite observation — verified.

Platform available

Generate agricultural
risk reports in
seconds.

Access the platform, enter the Tax ID code of a rural property, the crop type and planted area — and receive a complete report with soil, climate, vegetation, and environmental compliance analysis.