Key Takeaways
- Cropin, which describes itself as the world’s largest deployed AI platform for food and agriculture, has announced OrbitAI, an agentic AI platform built on Google’s AI infrastructure.
- OrbitAI is trained on real-world data covering crops, climate, weather, soil, geography, agronomic practices and global supply chains, rather than generic internet data.
- The platform uses a network of specialized AI agents to deliver region-specific, natural-language recommendations to users ranging from sourcing managers to smallholder farmers.
- OrbitAI is built on Google Cloud technologies including Gemini Models, the Agent Development Kit, BigQuery and WeatherNext, and is also available as a Model Context Protocol (MCP) server for integration with other AI systems.
- Cropin says the platform is designed to democratize access to agricultural intelligence for participants across the food system, regardless of geography or technical expertise.
Cropin Launches OrbitAI, an Agentic AI Platform for Food and Agriculture
Cropin has announced OrbitAI, an agentic AI platform built on Google’s AI infrastructure that the company says brings autonomous decision-making to global food systems. Cropin describes OrbitAI as trained on the complex, real-world interactions between crops, climate, weather, soil, geography, agronomic practices and global supply chains, rather than generic internet data.
How OrbitAI Delivers Real-Time Agricultural Intelligence
OrbitAI brings together a network of specialized AI agents designed to support decisions across the food value chain, delivering region-specific, actionable recommendations in natural language. In one example Cropin shared, a sourcing manager asked about soybean supply risk in Maharashtra over the next 90 days; OrbitAI reportedly responded within 30 seconds with a high risk rating, a projected shortfall of 12-15% driven by moisture deficit, and a recommendation to begin buffer procurement from Madhya Pradesh in week three. In another example, a potato farmer in Gansu, China asked whether the crop was healthy; the platform flagged a high disease risk based on humidity and temperature conditions favorable to late blight, and recommended a fungicide application within 48 hours.
“AI has transformed how the world accesses information. The next transformation is how the world makes decisions about food. OrbitAI is not another chatbot. It pairs Google Cloud’s AI infrastructure with Cropin’s proprietary predictive models, trained on fifteen years of ground-truth data, to predict outcomes before they happen. We keep the complexity behind the scenes; stakeholders simply enjoy the outcome: decades of progress in months,” said Krishna Kumar, Founder & CEO, Cropin.
Built on Google’s AI Infrastructure
OrbitAI is developed on Google’s AI ecosystem, using Gemini Models for foundation AI reasoning, the Agent Development Kit for autonomous agent orchestration, the Gemini Enterprise Agent Platform for model training and inference, BigQuery for large-scale agricultural data analytics, Google Cloud for global deployment, and WeatherNext for climate and weather intelligence.
“The next transformation in AI is moving away from technology demonstrations and focusing on measurable outcomes, specifically addressing the core challenge of ‘cost to serve’ versus ‘capacity to serve.’ By building on Google Cloud’s AI infrastructure, OrbitAI allows organizations to deploy agentic workflows that scale capacity exponentially, tackling complex real-world challenges with unprecedented pace and efficiency,” said Sashikumar Sreedharan, Managing Director, Google Cloud India.
Open Access Through an MCP Server
Beyond its native interface, OrbitAI is available as a Model Context Protocol (MCP) server, allowing its agricultural intelligence layer to be accessed by other AI models and systems, including Claude, GPT, Llama, Mistral, or proprietary enterprise AI tools. Cropin said this lets enterprises and developers integrate OrbitAI’s crop intelligence, climate signals, geospatial data and agronomic knowledge graph directly into their existing AI workflows.
Cropin’s Vision to Democratize Agricultural AI
Cropin said the goal behind OrbitAI is to give every participant in the food system, from sourcing managers and traders to smallholder farmers, access to expert-grade agricultural intelligence through natural language, regardless of geography, scale or technical expertise. The company noted that food and agriculture support the livelihoods of more than a billion people, yet many critical decisions remain constrained by fragmented information and delayed insights.
