Weather affects far more than a picnic or a daily commute. For a farmer, it can decide crop losses. For an insurer, it can change claim costs. For a bank, it can affect whether borrowers in a flood-hit area can repay loans.

Kerala-based climate intelligence startup mistEO is working on this problem with data and artificial intelligence. The company has reportedly raised Rs. 18 crore in a seed round led by MGF Kavachh, with participation from Seafund and others. The funding is expected to support its climate decision intelligence platform across India and parts of Asia.

What does mistEO do

mistEO turns weather and climate data into practical guidance for organizations. Instead of only showing that rain or extreme heat may arrive, its system aims to explain what that event could mean for a specific farm, loan portfolio, power asset, insurance product, airport or logistics route.

The startup combines inputs from satellites, radar, sensors, connected devices and third-party data. Its platform, including its weather model Indra, is designed to provide location-specific forecasts and risk insights. Company says its work covers sectors such as agriculture, finance, healthcare and other climate-exposed industries.

For example, a livestock farm may need an early alert about heat stress conditions. An insurer may need to assess which districts face a higher chance of crop damage. A lender could use local climate information to understand risk around a branch or group of borrowers. That is the gap mistEO is trying to fill.

The people behind the startup

mistEO is co-founded by Samuel John, its CEO and Chief Strategy Officer, and Nick Kumaran, who serves as a co-founder and advisor. The company is based in Thiruvananthapuram and also operates from Kochi and Melbourne (refer company profile).

Where the Rs. 18 crore may be used

The seed funding is expected to help mistEO improve its AI-led models, grow its team and take its platform to more users in banking, insurance and agriculture. The company is also exploring applications in renewable energy, ports, marine operations, mobility and disaster response, according to the funding report.

This is important because climate risk is not the same everywhere. A heavy rainfall warning for one district may mean delayed harvesting, while the same event near a city could mean flooding, power disruption or transport delays. Businesses need decisions suited to their exact location and activity.

mistEO’s work has already extended beyond standard forecasts. A NITI Aayog Frontier Tech story notes that the startup uses satellite, radar and IoT data to support climate-risk estimates, early warnings and weather-linked financial tools. It has also worked on parametric insurance models, where a payout can be triggered when a predefined weather event occurs.