The announcement was made at Huddle Global 2026 in Kerala, bringing together technology and entrepreneurship leaders.The announcement was made at Huddle Global 2026 in Kerala, bringing together technology and entrepreneurship leaders.Climate and weather intelligence startup mistEO has raised ₹18 crore in a seed funding round led by MGF Kavachh, with participation from Seafund and other investors.

Founded in 2019, the Thiruvananthapuram-headquartered company will use the capital to scale its climate decision intelligence (CDI) platform for banks, insurers and agri-value chains across India and Asia, deepen its forecasting and risk models, expand its team and build partnerships across Asia.

The funding will also support the development of applications for port and maritime operations, renewable energy forecasting, weather-based routing for mobility and logistics fleets, and flood intelligence for disaster response.

“The gap was between knowing the weather and knowing what to do about it, and that is what we set out to close,” Samuel John, Founder and CEO of mistEO, told ETEntrepreneur.

According to John, conventional weather forecasts lack the granularity businesses need to assess operational and financial risks. Seasonal rainfall data, for instance, cannot tell a farmer whether a dry spell will coincide with a critical stage of crop growth or a lender whether borrowers may struggle to repay loans following a weather event.

“Climate risk is experienced at the level of a farm, a branch or an asset, not a national average,” he said.

mistEO’s platform combines physics-based numerical weather modelling with AI and machine learning, integrating satellite, radar, Internet of Things, geospatial and ground-sensor data to assess weather risks and recommend actions.

Its forecasting model, Indra, delivers forecasts at a spatial resolution of 3 km across three windows: zero to six hours, six to 24 hours, and 24 to 48 hours. Its CDI platform follows the forecast, insight, resilience framework, translating forecasts into location-specific risk assessments.

“A weather forecast tells you what conditions may occur. The CDI tells you what those conditions will mean for a specific location, asset or activity, and supports a timely operational or financial response,” John said.

The company is targeting lenders and insurers that need granular data to assess physical climate risks, monitor exposed borrowers and design weather-linked insurance products. While lenders can use location-specific information to identify vulnerable borrowers and branches, insurers can use hazard assessments to improve risk pricing and develop parametric products, where predefined weather conditions trigger payouts.

“When a warning is tied to a standard operating procedure and to insurance that pays out automatically when the weather event hits, a weather shock becomes a priced, managed risk rather than a loss on a farmer’s or lender’s balance sheet,” John said.

In India, mistEO works with NABARD and the United Nations Development Programme (UNDP) on the Digital Climate Risk and Agriculture (DiCRA) initiative, providing open-access climate resilience data.

In Australia, its livestock early-warning system alerts cattle farmers to heat-stress conditions up to seven days ahead, protecting more than AUD 1 billion worth of livestock assets, according to the company. In Uzbekistan, it is deploying a weather-parametric insurance stack that uses forecast-based triggers to initiate payouts to livestock and crop farmers.

The company is also developing a thunderstorm nowcasting model for the Indian Air Force under the Innovations for Defence Excellence (iDEX) programme. It is working on early-warning systems for the Indian Navy and a mobility original equipment manufacturer.

“The timing matters. With a very strong El Niño expected to persist into early 2027, the need for these capabilities is growing,” John said.

Raj Sethia, founder and managing partner at MGF Kavachh, said sovereign weather and climate intelligence was critical to India’s food, economic and strategic security.

“For a country as large and climatically diverse as India, the data that decides whether a farm survives a heat wave or whether defence operations in the Indian Ocean can proceed safely cannot depend on models built for other geographies. It has to be built here,” Sethia said.

Published On Nov 12, 2026 at 01:57 PM IST

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