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Price Climate Risk with Precision. Underwrite with Confidence. banner

Price Climate Risk with Precision. Underwrite with Confidence.

AI-Powered Climate Risk Underwriting for Insurers, Lenders, and Risk Carriers

Plutas delivers AI-powered climate risk intelligence that enables insurers and financial institutions to improve underwriting, pricing, and portfolio decisions through precise location-based climate insights across assets, PIN-codes, districts, and portfolios.

Precision Climate Intelligence for Smarter Underwriting Decisions Today

What is AI Underwriting for Climate Risk?

AI underwriting for climate risk is the process of using artificial intelligence, climate data, and geospatial analytics to evaluate and price climate-related risks.

Traditional underwriting methods often rely on historical loss records, broad geographic assumptions, and static actuarial models. While useful, these approaches may not fully capture the localised and evolving nature of climate hazards.

AI-powered underwriting combines historical weather observations, real-time climate intelligence, satellite-derived datasets, climate projections, and machine learning models to evaluate hazard probability and exposure at specific locations.

The result is a more accurate understanding of climate risk that supports underwriting decisions, premium pricing, portfolio management, and parametric insurance design.

How It Works

Define Locations and Climate Hazards

Assess climate risk across facilities, properties, projects, portfolios, and geographic regions. Analysis can be performed at the asset, PIN code, district, or portfolio level.

Analyse Climate Hazard Probability

Plutas combines more than 30 years of weather observations with climate intelligence, hazard datasets, and AI-powered analytics to evaluate rainfall, heatwave, coldwave, drought, and cyclone exposure.

Generate Underwriting Insights

The platform produces hazard probability estimates, exposure assessments, climate risk indicators, and parametric trigger recommendations to support underwriting and product development decisions.

Why AI Improves Climate Risk Underwriting

Climate risks are highly variable across locations and industries. Traditional underwriting models often struggle to capture local climate conditions, emerging hazards, and changing weather patterns.

AI-powered climate underwriting enables organisations to evaluate risks with greater accuracy and consistency.

Climate intelligence helps underwriters improve pricing accuracy, strengthen portfolio visibility, and expand coverage across climate-exposed regions.

Climate Risks We Support

Climate risks are becoming a critical consideration in insurance underwriting and portfolio management. Advanced climate risk intelligence helps insurers assess exposure to extreme weather hazards, understand potential loss drivers, and improve underwriting accuracy.

By integrating location-specific climate insights into risk evaluation processes, insurers can develop better pricing strategies, strengthen portfolio resilience, and make more informed decisions across rainfall, heatwave, coldwave, and cyclone-related exposures.

01

Rainfall Risk Underwriting

Assess rainfall variability, flood exposure, drought probability, and water-related risks.

02

Heatwave Risk Underwriting

Evaluate rising temperatures, heat stress, productivity loss, and operational vulnerabilities.

03

Coldwave Risk Underwriting

Measure exposure to extreme cold, frost events, and weather-related business disruptions.

04

Cyclone Risk Underwriting

Assess cyclone exposure, severe storms, high winds, and climate-related infrastructure risks.

Applications Across Industries

01

General and Specialty Insurers

Improve climate risk selection, underwriting accuracy, and product pricing.

02

Reinsurers

Evaluate climate exposure across portfolios and identify concentration risks.

03

Banks and Financial Institutions

Incorporate climate intelligence into lending, investment, and risk assessment decisions.

04

Agricultural Finance

Assess weather-related risks affecting agricultural production and rural borrowers.

05

Infrastructure and Project Finance

Evaluate long-term climate exposure across infrastructure and development projects.

06

Insurtech Platforms

Integrate climate intelligence into digital underwriting and insurance workflows.

07

Corporate Risk Teams

Support risk financing, captive structures, and climate resilience planning.

08

Microfinance Institutions

Improve access to climate-informed financial protection in vulnerable communities.

09

Renewable Energy Developers

Assess climate risks affecting energy assets, projects, and performance.

The Technology Behind Our Climate Risk Underwriting Platform

Plutas combines climate science, artificial intelligence, geospatial analytics, and parametric insurance expertise to support AI-powered climate risk underwriting. The platform is built for the Indian market and engineered for global scalability.

It draws on historical weather observations, climate hazard datasets, satellite-derived intelligence, climate projections, and asset-level location data to evaluate hazard probability and exposure at the precise locations that matter to underwriters.

This enables insurers, reinsurers, and risk carriers to improve pricing accuracy, reduce exposure uncertainty, and strengthen portfolio management across multiple climate hazards.

01

AI-Powered Climate Analytics

AI models detect climate risk trend

02

Hyperlocal Climate Intelligence

Assess climate exposure across pins

03

Parametric Trigger Calibration

Support trigger selection with data

04

Portfolio Risk Visibility

Evaluate risks across portfolios AI