Apply to join Klarna’s AI for Climate Resilience Program

Klarna’s AI for Climate Resilience Program aims to catalyze practical, locally-led AI initiatives that strengthen climate adaptation capacities in underserved, climate-vulnerable regions. We’re inviting proposals from organizations working to reduce vulnerability of local communities to climate-related risks in low- and middle-income countries. Whether you’re using AI to support smallholder farmers, build early warning systems, or translate complex risk data into community action plans—we want to hear from you.

Projects must demonstrate a clear use case for AI, a pathway to local ownership, and a commitment to responsible, collaborative innovation. Early-stage ideas are welcome too, especially from teams needing support to refine technical details or implementation plans.

We aim to support projects that deliver on one or several of the following types of outcomes:

• Harness and elevate local knowledge. Discern, organize, and analyze community insights to generate concise, actionable information accessible both to large-scale actors (e.g. governments, NGOs) and the very communities that contributed it.

• Develop and demonstrate novel AI applications in real-world settings—such as smartphone-based AI advisers for smallholder farmers to enhance resilience, or AI-powered climate-risk assessments for low-lying islands to inform infrastructure planning and relocation strategies.

• Improve and enhance adoption, cost-effectiveness or sustainability of existing AI solutions for climate adaptation and resilience, including advancing ecosystem-wide knowledge by contributing open datasets, benchmarks, or best-practice insights that benefit the broader AI-for-adaptation community.

What we don’t fund:

• Short-term relief or emergency aid.

• Pure research or proof-of-concept projects without a concrete plan for  field deployment or community adoption.

• Projects focused solely on GHG emission reductions.

• Service providers (e.g. platform hosts, MRV-tools) whose offerings do not directly improve community adaptation outcomes.

• Projects lacking robust AI risk governance, i.e. without clear plans to anticipate and manage AI bias, errors, model drift, opacity, and trust issues.