Cropin partnered with Google Cloud to launch OrbitAI, an agentic AI platform built on Google's AI infrastructure that brings autonomous decision-making to global food systems.
Dubbed the first Agentic AI platform for food and agriculture, this solution is trained on the complex, real-world interactions between crops, climate, weather, soil, geography, agronomic practices, and global supply chains, rather than generic internet data.
"AI has transformed how the world accesses information. The next transformation is how the world makes decisions about food. OrbitAI is not a chatbot,” says Krishna Kumar, founder and CEO, Cropin. “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 so that stakeholders simply enjoy the outcome: decades of progress delivered in months."
“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,'” says Sashikumar Sreedharan, managing director of Google Cloud India. “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.”
Key takeaways:
· OrbitAI brings together a network of specialized AI agents designed to support decisions across the food value chain. The platform delivers region-specific, actionable recommendations in natural language, grounded in verified agricultural intelligence and real-world conditions.
· OrbitAI is developed on Google’s next-generation AI ecosystem, leveraging Gemini Models for foundation AI reasoning; the Agent Development Kit for autonomous agent orchestration; Gemini Enterprise Agent Platform for scalable model training and inference; BigQuery for planetary-scale agricultural data analytics; Google Cloud for global real-time deployment; and WeatherNext for next-generation climate and weather intelligence.
· Enterprises, developers, and AI platforms can directly integrate OrbitAI's crop intelligence, climate signals, geospatial data, and agronomic knowledge graph into their existing AI workflows.
