Fyllo, one of India’s fastest-growing agritech startups, has launched DeepMet 1, a first-of-its-kind AI-driven weather prediction model designed to deliver short-term, hyperlocal rainfall forecasts of up to six hours. The innovation promises to transform decision-making for farmers, cities, industries, and logistics services dependent on precise, localized weather intelligence.

DeepMet 1 operates at a 10 × 10 km resolution, tailored specifically for the Indian subcontinent. By analyzing satellite observations from the preceding six hours, the model can detect highly localized precipitation patterns, often distinguishing rainfall variations between neighboring villages, streets, or farmland blocks. This hyperlocal precision bridges a longstanding gap between traditional numerical weather prediction (NWP) systems and the real-world requirements of India’s diverse climatic zones, where sudden rainfall can disrupt crops, urban infrastructure, and power systems alike.

“India’s diverse weather necessitates dynamic tools for accurate forecasting,” said Sumit Sheoran, Co-founder of Fyllo. “Farmers, city planners, and energy managers often rely on generalized forecasts that overlook local conditions. DeepMet 1 delivers AI-driven, hyperlocal weather intelligence that is actionable and accessible across sectors.”

Real-Time Deployment Across Sectors

DeepMet 1 is built for real-time API integration, enabling instant adoption across multiple domains including agriculture, urban planning, energy management, logistics, research institutions, and financial services. Online delivery companies can leverage hyperlocal rainfall insights to optimise operations, predict delivery timelines, and manage costs efficiently. Forecasts are also publicly visualized on a live dashboard, with APIs available for developers and institutions building weather-dependent applications.

For agriculture, DeepMet 1 complements Fyllo’s existing technology ecosystem, which already provides real-time insights on crop health, nutrient management, irrigation, and disease prediction. Thousands of farmers and agri-enterprises currently rely on Fyllo’s AI-powered solutions, supported by investors including India Quotient and SIDBI Venture Capital.

Empowering Climate-Resilient Decision-Making

The launch of DeepMet 1 marks a significant milestone in Fyllo’s long-term vision: to make Indian agriculture predictable, data-driven, and climate-resilient. By delivering hyperlocal, short-term weather intelligence, the startup aims to equip farmers and urban stakeholders with the tools necessary to anticipate risks, improve operational efficiency, and optimise resource use.

“DeepMet 1 is not just a forecasting tool—it’s a strategic enabler for sectors that depend on accurate, localized climate data,” Sheoran added. “This is a critical step in building a more resilient and intelligent ecosystem for India’s agriculture and beyond.”