04
DECIDE + ORCHESTRATE
Agentic Intelligence
Cropin Cloud
The platform behind every Cropin forecast.
Four layers: a Data Foundry of field and satellite records, 22+ domain models, enterprise workflows and the OrbitAI agents. They work on a single plot or a global sourcing portfolio.
Architecture
03
OPERATE + INTEGRATE
Enterprise Apps & Workflows
02
PREDICT + REASON
Domain AI Models
01
INGEST + VERIFY
Data Foundry
Each layer builds on the one below it.
Ground truth feeds the models, the models feed the workflows, and OrbitAI works across all three. You can deploy one layer or all four.
Agentic intelligence
OrbitAI interprets business questions, calls specialized models and returns role-specific decisions.
- Sourcing
- Agronomy
- Underwriting
- Sustainability
Enterprise workflows
Configurable operations route forecasts to the right people, approvals and systems.
- Program management
- Field execution
- Traceability
- APIs and MCP
Domain AI models
Domain models predict production, water stress, vegetation, land-use change and physical risk across time and geography.
- Crop Knowledge Grid
- Water and climate
- Vegetation and forest
- Land and asset risk
Data Foundry
Verified ground truth meets satellite, weather, climate, sensors, enterprise and partner data on a common Earth grid.
- GPS-verified records
- Earth observation
- Multi-resolution grid
- Model-ready data
Outputs
Answers at plot, program, region and portfolio scale.
Move between plot, supplier, sourcing region and portfolio without losing the spatial or seasonal context behind the answer.
Plot Intelligence
Monitor crop stage, health, disease, water stress, harvest readiness and field activity.
Production programs
Standardize workflows and manage growers, suppliers, agronomy and quality programs.
Regional Intelligence
Estimate acreage, production, climate exposure and suitability across large geographies.
Portfolio risk
Aggregate crop and climate exposure for procurement, lending, insurance and policy decisions.
Evidence and MRV
Connect traceability, land-use change and practice evidence to audit-ready reporting.
Plain-language answers
Ask questions in natural language and turn model output into recommendations and action.
Learning loop
Every season makes the next forecast better.
New observations are checked against what was actually harvested, and those outcomes feed the next season’s models.
01
Observe
Satellite, weather, sensors and field activity.
02
Verify
GPS-linked ground truth and agronomic validation.
03
Model
Crop, climate, geospatial and risk models.
04
Decide
Role-specific answers and a recommended action.
05
Improve
Outcomes feed the next season and model cycle.
Integrations
Connects to SAP, Dynamics, Salesforce and John Deere.
Use Cropin as apps, through APIs, or through MCP for your own agents. Your data and workflows stay specific to your enterprise.
SAP S/4HANA
Microsoft Dynamics
Salesforce
John Deere
Arable
IoT and sensors
Satellite providers
APIs
MCP
Food and agriculture is where the platform has 15 years of proof.
Biology, climate, field activity and supply decisions change every day in food and agriculture. That operating record is the base for the other domains below, each at the maturity stated.
- 15+Years of Food-Ag operating depth
- 103Countries with deployments
- 30M+Acres digitized as farm-level records
- 10,000+Crop varieties in the knowledge base
| Domain | Maturity | Decisions supported |
|---|---|---|
| Food and agriculture | Proven | Production, sourcing, traceability, field operations and MRV. |
| Forest and land | Models available | Land-use change, deforestation, restoration and compliance evidence. |
| Water | Models available | Water stress, irrigation demand, basin exposure and watershed risk. |
| Risk and government | Cross-domain | Underwriting, public programmes, policy and resilience investment. |
| Energy | Upcoming | Vegetation encroachment, climate exposure and distributed asset risk. |
| Infrastructure | Upcoming | Corridor monitoring, site change and physical asset exposure. |
Seed companies, food brands and governments use the same platform.
The platform is built for agricultural businesses of every kind: higher yields, efficient crop management, sustainability, and more productive field teams.
Seed companies
Monitor crop performance effectively and enhance seed quality with the data-driven insights.
Retail industry
Retailers get real-time supply chain visibility, along with top-quality sourcing to deliver safe, traceable, and sustainably grown crops.
Food & beverage enterprises (CPG)
Ensure sustainable sourcing, high quality, and end-to-end traceability across the food supply chain.
Agri-input manufacturers
Easily track field impact for improved resource efficiency, supply-demand analysis, and optimize product usage.
Commodity traders & processors
Access risk insights and live data on yield and production to implement smarter decisions.
Development agencies & governments
Track and measure impact and implement large-scale agricultural programs with improved efficiency.
Case studies from seed, potato and smallholder programmes
Case study
Cultivating the Next Generation of Seed Innovation in America
From managing diverse microclimates to navigating the genetic complexity of 859 varieties, this U.S. seed leader bridged the gap...
Read the story Case studyPowering Premium Fries with AI: How Cropin Enabled Surety of Supply for a US Food Processing Major
From navigating untapped high-yield frontiers in China to managing a vast, climate-sensitive footprint in Argentina, this global leader faced...
Read the story Case studyA Digital Lifeline for Farmers: How Cropin and ADPC Built Climate Resilience in South Asia
Smallholder farmers in South Asia are the backbone of the region, yet their livelihoods, often resting on tiny, sub-hectare plots, are...
Read the storyFrequently asked questions
How do we help digitize farms and agri operations?
Cropin platform helps you geotag your farms, digitize farm/farmer records, share advisories, monitor crop productivity, improve farm efficiency with AI-powered data-driven advisories, and boost field officer productivity. We enable stakeholders to monitor, manage, and optimize operations from seed to harvest on a single platform.
How do we reduce crop loss and improve farm productivity?
We use AI and predictive analytics to detect risks early, like pests or climate events, driving proactive decisions that reduce crop loss and improve yield quality across the value chain.
Can our platform scale across different geographies and crops?
Yes, our platform is globally scalable. We have deployed our solution in over 100 countries, across 30 million acres, covering 400 crops and 10,000+ crop varieties.
Who benefits from using our agri-tech solutions?
Our solutions support agribusinesses, governments, food companies, and development agencies to achieve transparency, efficiency, and sustainability across agricultural operations of all sizes and complexities.
How do we enable better decision-making for agri stakeholders?
We deliver near real-time, actionable intelligence through AI and data, helping stakeholders make faster, smarter decisions that enhance operational excellence, resource efficiency, and long-term agri-business growth.