Cropin and Google Cloud launch OrbitAI for agriculture

Cropin and Google Cloud have launched OrbitAI, an agentic AI platform designed to help food and agriculture businesses make faster decisions using crop, climate, soil, and supply-chain data. The platform is built on Google Cloud infrastructure and aims to turn fragmented agricultural information into real-time, actionable guidance.

Why it matters: - Food and agriculture decisions often rely on delayed, fragmented data, which can slow sourcing, farming, and risk response. - OrbitAI is designed to give growers, agribusinesses, and supply-chain teams faster decision support in natural language. - Cropin positions the platform as a way to move agriculture from data access to autonomous action.

What happened: - Cropin announced OrbitAI, which it describes as an agentic AI platform for food and agriculture. - The platform is built on Google Cloud infrastructure and Google’s AI ecosystem. - The launch was announced July 15, 2026, from Palo Alto, California. - OrbitAI is trained on real-world agricultural conditions, including crops, climate, weather, soil, geography, agronomic practices, and global supply chains.

The details: - OrbitAI combines a network of specialized AI agents that support decisions across the food value chain. - The platform delivers region-specific recommendations in natural language. - Cropin said OrbitAI is grounded in verified agricultural intelligence rather than generic internet data. - Example use cases include a sourcing manager asking about soybean supply risk in Montgomery County, Indiana over the next 90 days. - In that example, OrbitAI returns a risk level of HIGH, a projected 12% to 15% shortfall, and a recommendation to begin buffer procurement in Week 3. - Another example shows a potato farmer in Idaho asking whether a crop is healthy this week. - In that example, OrbitAI flags a HIGH disease risk, points to humidity and temperature conditions favorable for late blight, and recommends spraying within 48 hours using Cymoxanil-Mancozeb. - Cropin CEO Krishna Kumar said OrbitAI pairs Google Cloud AI infrastructure with Cropin’s predictive models trained on 15 years of ground-truth data. - Google Cloud India managing director Sashikumar Sreedharan said the goal is to shift AI from demonstrations to measurable outcomes and to expand capacity through agentic workflows. - OrbitAI uses Gemini Models for reasoning, the Agent Development Kit for orchestration, Gemini Enterprise Agent Platform for training and inference, BigQuery for agricultural analytics, Google Cloud for deployment, and WeatherNext for climate and weather intelligence. - OrbitAI is available as a Model Context Protocol server. - The MCP setup allows frontier AI models and open-source systems to access OrbitAI’s agricultural intelligence layer. - Enterprises and developers can integrate crop intelligence, climate signals, geospatial data, and an agronomic knowledge graph into existing AI workflows. - Cropin said OrbitAI can be used with Claude, GPT, Llama, Mistral, or proprietary enterprise AI systems through native tool calls. - Cropin was founded in 2010 and says it is the world’s most widely deployed AI platform for food and agriculture. - Cropin said it operates in 103 countries. - The company said its crop knowledge graph covers 400 crops and 10,000 varieties. - Cropin said its intelligence is built on more than 1 billion acres of farmland. - The company said it has digitized 30 million acres and positively impacted more than 7 million farmers.

Between the lines: - The launch shows how agritech companies are moving toward agentic AI that can recommend actions, not just summarize information. - OrbitAI’s open architecture suggests Cropin is targeting both direct enterprise users and third-party AI platforms. - The partnership also gives Google Cloud a visible use case for AI tools in a high-stakes, real-world industry.

What's next: - Cropin and Google Cloud will likely push OrbitAI into more enterprise workflows across sourcing, farming, and climate-risk planning. - The platform’s value will depend on whether its recommendations prove accurate and usable across different regions and crops. - Wider adoption may come as enterprises connect OrbitAI to existing AI systems and operational systems through MCP and Google Cloud tools.