Indian climate and weather intelligence startup MistEO has raised ₹18 crore in a seed funding round led by MGF-Kavachh, a SEBI-registered Category II Alternative Investment Fund. Seafund also participated in the round, while Key Ventures acted as the financial advisor.
The company plans to use the fresh capital to scale its flagship Climate Decision Intelligence (CDI) platform, which provides climate and weather risk insights to banks, insurers and agricultural value chains across India and Asia. The funding will also support improvements to its forecasting and risk models, team expansion and the development of a partnership-led presence in Asian markets.
Founded by Samuel John, MistEO focuses on translating localised weather forecasts into actionable risk intelligence. Its platform aims to help financial institutions and insurers assess climate-related risks at the level of individual farms, branches and insured assets rather than relying on broad regional or national averages.
The startup’s proprietary weather forecasting model, Indra, provides forecasts at a spatial resolution of 3 km across three time windows: 0–6 hours, 6–24 hours and 24–48 hours. By combining weather modelling with AI and machine learning, MistEO aims to help businesses understand the potential impact of weather events on specific locations and assets.
Beyond agriculture and financial services, MistEO is looking to develop applications for port and maritime operations, solar and wind power generation forecasting, weather-based routing for mobility and logistics fleets, and flood and heavy-rainfall intelligence for disaster response.
The company is already working with NABARD and the United Nations Development Programme (UNDP) in India through the Digital Climate Risk and Agriculture (DiCRA) initiative, which provides open-access climate resilience data for agriculture and its subsectors.
With the latest funding, MistEO aims to strengthen its climate intelligence capabilities and expand its reach across Asian markets, addressing the growing need for location-specific weather and climate risk data among businesses and financial institutions.
-By: Aakriti Jaiswal
