Cropin Cloud
From physical signals
to enterprise action.
One architecture unifies verified ground truth, Earth observation, climate intelligence, domain models and agentic workflows, from a field or forest to a basin, corridor or global portfolio.
One intelligence architecture
Four layers.
One decision system.
Cropin connects what changes on Earth to the systems that decide and act. Each layer compounds the value of the verified foundation below it.
Agentic intelligence
OrbitAI interprets business questions, calls specialized models and returns role-specific decisions.
- Sourcing
- Agronomy
- Underwriting
- Sustainability
Enterprise workflows
Configurable operations connect intelligence to people, approvals, systems and action.
- 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
What the platform produces
Intelligence at every operating 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 Intelligence
Standardize workflows and manage growers, suppliers, agronomy and quality programs.
Regional Intelligence
Estimate acreage, production, climate exposure and suitability across large geographies.
Portfolio Intelligence
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.
Decision Intelligence
Ask questions in natural language and turn model output into recommendations and action.
The intelligence pipeline
Observe. Verify. Model.
Decide. Improve.
Every cycle connects new observations to verified outcomes, strengthening the models and the confidence behind future decisions.
Satellite, weather, sensors and field activity.
GPS-linked ground truth and agronomic validation.
Crop, climate, geospatial and risk models.
Role-specific intelligence and recommended action.
Outcomes feed the next season and model cycle.
Enterprise-ready by design
Works with your systems.
Respects your context.
Deploy Cropin as applications, APIs or agent-accessible intelligence. Customer data and workflows remain specific to each enterprise.
01 / IN PRACTICE
One verified intelligence system for what changes on Earth.
Cropin’s deepest operating proof comes from Food and Agriculture, where biology, climate, field activity and supply decisions change every day. That verified foundation now provides the architecture for intelligence across other physical-world domains.
From field variability to enterprise supply decisions.
Connect production, agronomy, sourcing, traceability and sustainability workflows to verified field and Earth intelligence.
- Crop and harvest intelligence
- Supply assurance and sourcing
- Field operations and traceability
- Climate resilience and MRV
FOREST & LAND
Land-use change, deforestation, restoration and verifiable MRV.
↗WATER
Water stress, irrigation demand, basin exposure and watershed decisions.
↗ENERGY
Vegetation encroachment, climate exposure and distributed asset risk.
↗INFRASTRUCTURE
Corridor monitoring, site change and physical asset exposure.
↗POSITIONING Food‑Ag is the deployed proof. Forest & Land and Water models are available today. Energy and Infrastructure are upcoming.
02 / IN PRACTICE
Four layers. Any physical-world workflow.
The platform is not a collection of disconnected products. Each layer turns verified observations into increasingly useful context, predictions, decisions and action.
Agentic intelligence
OrbitAI combines models, agents and enterprise context through chat, voice and MCP.
- ORBITAI
- SPECIALIST AGENTS
- CHAT + VOICE
- MCP
Apps & workflows
Role-specific operations, approvals, actions and enterprise integration.
- FIELD OPS
- SOURCING
- MRV
- ASSET WORKFLOWS
Domain intelligence
Models interpret crop, water, vegetation, climate, land and asset signals.
- CROP
- WATER
- VEGETATION
- PHYSICAL RISK
Data Foundry
Field evidence meets Earth observation, weather, sensors and enterprise data.
- FIELD
- EARTH
- CLIMATE
- ENTERPRISE
03 / IN PRACTICE
Sense. Understand. Predict. Act.
Digital transformation matters when it improves a physical decision, not when it creates another dashboard. The same intelligence loop adapts to each domain and operating context.
Observe change
Satellite, field, weather, climate, sensor and enterprise signals.
Add domain context
Asset, location, season, variety, operating history and local conditions.
Model what comes next
Production, stress, land-use change, water demand and physical risk.
Move into workflow
Advice, inspection, sourcing, compliance, intervention and planning.
Production · supply · quality
Land change · MRV · compliance
Stress · demand · basin risk
Vegetation · exposure · intervention
04 / IN PRACTICE
A verified foundation built in the hardest physical system.
Food-Ag is where Cropin has earned its operating depth, across crop biology, seasons, regions and enterprise workflows. That evidence anchors expansion into adjacent domains.
A globally deployed Food-Ag foundation.
Verified intelligence computed across physical landscapes.
Domain knowledge built through real operating cycles.
Deep biological context behind Food-Ag decisions.
Ground truth → domain models → operational outcomes → stronger future decisions
05 / IN PRACTICE
One architecture. Different physical-world decisions.
Configure the data, models, agents and operating workflow around the asset and outcome, not around a generic software category.
FOOD & AGRICULTURE
Protect production and supply
Farm operations · crop intelligence · sourcing · traceability · MRV
↗FOREST & LAND
See land-use change early
Deforestation · restoration · biomass · compliance evidence
↗WATER
Understand stress and demand
Irrigation · basin exposure · watershed risk · allocation
↗ENERGY
Monitor distributed physical risk
Vegetation · climate exposure · grid corridors · field response
↗INFRASTRUCTURE
Keep assets and corridors visible
Site change · encroachment · inspection · maintenance priority
↗RISK & GOVERNMENT
Turn evidence into portfolio action
Underwriting · public programs · policy · resilience investment
↗06 / IN PRACTICE
Make physical-world operations more predictable.
The value is not a model score. It is the ability to see material change sooner, decide with context and coordinate action across teams, regions and systems.
See material change sooner
Continuous physical signals reveal emerging production, climate, land and asset risk.
Plan with verified context
Ground truth and domain models make regional and portfolio decisions explainable.
Move from signal to action
Agentic workflows connect model output to the teams and systems responsible for response.
Focus resources where they matter
Prioritized interventions reduce manual review, wasted inputs and avoidable field effort.
Keep evidence ready
Traceable observations and outcomes support audit, compliance, sustainability and MRV.
Reuse one intelligence architecture
Standardize globally while preserving local domain, asset and operating context.
07 / IN PRACTICE
Industries & businesses we serve
Our digital farming solutions are developed to empower diverse agricultural businesses globally for maximized yields, crop management efficiency, sustainability, and improved team productivity.

Seed companies
Monitor crop performance effectively and enhance seed quality with the data-driven insights.

Retail industry
We empower retailers with 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.
08 / IN PRACTICE
Why partner with us
Impact measured where it matters the most. Delivering the best of productivity, profitability, and sustainability across every acre.

30 Million acres digitized globally
Successfully digitized more than 30 million acres of farmland across the US, Europe, Southeast Asia, India, Australia, Latin America, and other regions. Enabled increased operational efficiency and data-driven farm management.

10% of the world’s croppable land computed
Intuitive processing of data from croppable land across the globe, delivering insights at a larger scale with precise yield predictions, actionable intelligence, and climate risk assessment, for sustainable farming decisions across the globe.

25% Average yield improvement
Consistently empowered farmers to optimize crop practices and inputs for higher yields. Leveraged predictive analytics and real-time data to make informed decisions to improve productivity and attain sustainable growth in the long run.

92% Increase in climate-resilient farming practices
Enabled farmers to adopt climate-smart techniques, build resilience against unprecedented climate change, as well as optimize resources, practice risk mitigation, and drive towards consistent productivity across crops and regions.

Comprehensive agri-saaS suite
We cover everything from farm management to predictive analytics and traceability via our end-to-end digital farming solutions. This enables agri-businesses to streamline operations along with data-driven decision-making.

Trusted by 100+ enterprise clients
Agri-businesses, development agencies, and governments, from various parts of Asia, Australia, Africa, Europe, the United States, and more, continue to implement sustainable agricultural practices using our platform.

90%+ predictive accuracy across use cases
Our machine learning and advanced AI support enable timely risk alerts, accurate forecasts, and data-driven insights for multiple crops and regions.
09 / IN PRACTICE
Case Studies
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 more 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 more 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 more10 / IN PRACTICE
Frequently 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.
Put the architecture to work