A report by AVPN and Prudence Foundation, in partnership with Catalyst Management Services (CMS), finds that as climate shocks intensify across Asia, traditional risk management and health surveillance systems are proving inadequate. Investors are now focusing on the convergence of digital innovation, climate data, and finance to create scalable safety nets.
This confluence manifests in two high-potential areas: AI-driven early warning systems and climate-linked parametric insurance models.
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According to the ‘Unlocking Capital For Climate x Health: The Investment Landscape in Asia’ report, investors view climate-linked insurance as a “catalytic frontier”. Parametric models, which trigger automatic payouts based on pre-defined index thresholds (like rainfall, temperature, or disease incidence), eliminate lengthy claims processes, providing rapid financial relief to households and local authorities.
Applications of parametric models
These models have several practical applications that attract blended capital:
- Heat-index insurance: Providing rapid payouts for informal workers affected by extreme heat days.
- Vector-linked payouts: Offering immediate funds to public health providers when disease vectors (like mosquitoes) cross defined population thresholds.
- Bundled crop-health-risk covers: Protecting smallholder farmers against agricultural losses and subsequent health impacts following extreme weather.
Case study: WRMS SecuRisk platform
India’s Weather Risk Management Services (WRMS) and its SecuRisk platform provide a blueprint for this model.
- The technology: SecuRisk links climate data, collected via satellite and IoT, with parametric insurance to trigger automatic payouts instantly when climate thresholds (e.g., specific rainfall amounts or heat indices) are crossed.
- Impact and scale: This model reduces disaster-driven health losses and strengthens household resilience. It has successfully integrated with digital payment systems and Aadhaar, demonstrating scalability. WRMS has secured a significant grant of approximately US$2.268 million (€2.1 million) from the InsuResilience Solutions Fund and aims to expand its reach from 1,300 households to over 85,000 users.
- Investment potential: The global parametric insurance market is projected to surpass US$29 billion by 2031, signalling strong long-term commercial interest.
The role of AI surveillance
In parallel, AI surveillance and remote sensing tools are vital for adaptation, enabling governments to pilot early-warning systems for altered disease patterns. However, investors classify AI surveillance as a high-risk category (MVS 3.9-4.0) due to long development cycles, reliance on public data, and algorithmic bias and data privacy hurdles. Monetisation often depends on software as a service (SaaS) models licensed to health authorities, making government integration and policy buy-in essential for adoption. The success of these deeptech solutions hinges on integrating interdisciplinary capacity: technology, epidemiology, and policy expertise.
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Ultimately, these investments turn climate risk into a measurable, insurable, and manageable metric, moving finance from reactive crisis response to proactive resilience building.
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