InRisk Labs Banks $27M to Bring AI-Powered Parametric Insurance to More Sectors

InRisk Labs, a startup developing parametric insurance products that trigger automatic payouts based on data indices rather than traditional claims adjustment, has raised $27 million in Series A funding. The round was announced on August 5, 2026. The company’s platform allows insurers, reinsurers, governments, and intermediaries to design and deploy customized coverage for a wide range of climate and disaster risks. Its product catalog spans delivery logistics (protecting against shipment delays from heavy rainfall or cyclones), travel and tourism, loan insurance for rural financial institutions, structural damage from earthquakes and floods, crop and livestock insurance, renewable energy productivity (solar irradiance and wind speed), and even market volatility protection for farmers. InRisk Labs differentiates itself through a technology stack that includes AI-driven pricing models analyzing thousands of variables, real-time monitoring of weather and environmental data, and blockchain-based smart contracts for claims automation. The company also offers an API that insurance partners can integrate into their own applications, enabling dynamic pricing and streamlined product management. Its approach relies on institutional-grade data from sources such as IMD, NASA, and ESA, combined with geospatial models that cover every village and pincode in India. It collaborates with global research institutes to refine its climate analytics and risk contours. The company did not disclose lead investors or how it plans to deploy the new capital. Its platform already supports underwriting partnerships with leading insurers and reinsurers, who provide capacity for products designed through InRisk. Parametric insurance has gained traction as a tool for closing the protection gap in regions vulnerable to climate change, offering faster payouts and reduced administrative overhead compared to indemnity-based policies. InRisk Labs’ focus on real-time customization and AI-driven risk assessment positions it at the intersection of insurtech and climate resilience.