KLARNA X MILKYWIRE
AI for Climate Resilience Program
Empowering communities on the frontlines of climate change
AI for the communities climate change hits hardest
As an AI-powered company, Klarna is backing local innovators leveraging AI to boost communities on the frontlines of climate change. Launched with Milkywire in January 2026, the AI for Climate Resilience Program funds and mentors local innovators in lower- and middle-income countries as they build practical AI tools for adaptation and resilience — from early-warning systems to resource management. Beyond funding, participants receive tailored support build robust solutions and scale their impact.
The program at a glance
In numbers
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$
$
Million in total funding
Projects
Countries
Explore the projects
The program supports groups of innovators, known as cohorts, developing practical AI solutions for climate resilience—from disaster preparedness and biodiversity protection to water and food security.
Explore the six projects joining in January 2027 below, followed by our first cohort, which started in January 2026.
Cohort 2
Program period: January 2027–June 2028
India
Humble Bee
Project goal
Enroll 10,000 women on the BEEKIND app, aiming to increase their seasonal income by around 30% and support reliable pollination across approximately 125,000 acres of farmland.
Funding
USD 289,000
Tanzania
MUHAS
Project goal
Support 2,000 mothers and 60 health workers across six hospitals. Aim to contact enrolled mothers in flood-affected areas within two hours of a warning and reduce delayed care-seeking by 25%.
Funding
USD 295,000
South Africa
Wattzo
Project goal
Reduce heatwave forecast error by 15% and install 15–25 solar systems across three to five high-risk communities to evidence how resilience can be provided to those most vulnerable to changing climate. Aim for 15 municipalities, NGOs, or funders to use the vulnerability map, with at least one municipality incorporating it into disaster planning.
Funding
USD 294,000
Madagascar
Madagascar National Parks
Project goal
Deliver SMS forecasts to approximately 250 farmers across 30 villages and engage at least 12 community groups. Aim to reduce temperature forecast error from more than 5°C to less than 3°C and launch a drought forecast covering Madagascar’s national parks
Funding
USD 227,000
Ethiopia
AfriScout
Photo credit: Steven Wade Adams
Project goal
Enable a majority of AfriScout’s more than 70 community grazing groups to use the chat tool for planning, and all groups to receive voice guidance. Aim for women to make up at least 40% of users, and evaluate effects on grazing-plan adherence and overgrazing.
Funding
USD 248,000
India
CoRE Stack
Project goal
Expand support from 1,000 to 10,000 villages, increase restoration plans from 500 to 5,000, and grow the network of local stewards from 200 to 2,000. Create a platform connecting these stewards directly with corporate and philanthropic funders.
Funding
USD 192,000
India
Humble Bee
Women beekeepers depend on healthy colonies and reliable flowering seasons for their income. Erratic monsoons, heatwaves, and shifting flowering cycles are making nectar harder to find, putting bee colonies and seasonal earnings at risk. Humble Bee is helping beekeepers adapt to these changes while illustrating how pollination as an ‘ecosystem service’ can be harnessed by the surrounding farms that depend on it.
AI-usecase
Humble Bee is expanding BEEKIND, its AI-powered advisory app for beekeepers, to forecast nectar availability using satellite and weather data. This will help beekeepers decide when and where to move their hives as flowering seasons shift, helping protect bee colonies and income. The project also includes weather-index insurance that automatically compensates beekeepers when agreed weather thresholds are reached.
Project goal
Enroll 10,000 women on the BEEKIND app, aiming to increase their seasonal income by around 30% and support reliable pollination across approximately 125,000 acres of farmland.
Funding
USD 289,000
Tanzania
MUHAS
Floods can prevent pregnant women from reaching clinics, while extreme heat increases risks for mothers and newborns. Health workers need timely information to identify who may be affected and help women access care before delays become dangerous. The Muhimbili University of Health and Allied Sciences (MUHAS) is developing a system that connects climate-risk information with maternal healthcare.
AI-usecase
AI is used to combine weather alerts, flood maps, and disease-surveillance data to flag mothers who may need support. Information and guidance will be shared through WhatsApp and SMS in Swahili, helping health workers prioritize outreach and support timely care as conditions change.
Project goal
Support 2,000 mothers and 60 health workers across six hospitals. Aim to contact enrolled mothers in flood-affected areas within two hours of a warning and reduce delayed care-seeking by 25%.
Funding
USD 295,000
South Africa
Wattzo
Extreme heat becomes more dangerous when power outages interrupt cooling and essential services. Communities facing unreliable electricity and greater social vulnerability can be particularly exposed. Wattzo’s HeatShield project aims to make these overlapping risks more visible and guide solar-energy investment toward the communities that need it most.
AI-usecase
AI is used to combine local weather-station data, global forecasts, and electricity-grid reliability records to assess where risks overlap. These assessments will help improve heatwave warnings and inform decisions about where to install solar infrastructure. The project connects climate-risk mapping with practical investments to help keep cooling and essential services running during outages.
Project goal
Reduce heatwave forecast error by 15% and install 15–25 solar systems across three to five high-risk communities to evidence how resilience can be provided to those most vulnerable to changing climate. Aim for 15 municipalities, NGOs, or funders to use the vulnerability map, with at least one municipality incorporating it into disaster planning.
Funding
USD 294,000
Madagascar
Madagascar National Parks
Around Andohahela National Park, drought is damaging crops and threatening livestock, putting farming households under growing pressure. These losses can push families to clear forest for agriculture, adding to pressures on ecosystems and water resources. Madagascar National Parks, in partnership with Rutgers University, is working to help communities anticipate drought conditions and prepare for risks to their farms.
AI-usecase
AI is used to combine models of physical processes, satellite observations, and data from community-run sensors to forecast water and heat stress on individual plots and across larger watersheds up to six months ahead. Forecasts will be shared with farmers by SMS in Malagasy, making information about future conditions accessible without requiring a smartphone or a complex digital tool.
Project goal
Deliver SMS forecasts to approximately 250 farmers across 30 villages and engage at least 12 community groups. Aim to reduce temperature forecast error from more than 5°C to less than 3°C and launch a drought forecast covering Madagascar’s national parks
Funding
USD 227,000
Ethiopia
AfriScout
Herding families depend on knowing where grass and water will be available as the seasons change. More frequent droughts and unpredictable rainfall are disrupting established grazing routes, threatening livestock and household livelihoods. AfriScout, a social enterprise within the US-based nonprofit Global Communities, is working to help communities adapt their grazing plans using more timely information about changing conditions.
AI-usecase
AI is used to combine satellite vegetation data with weather forecasts to help community leaders update grazing plans through a chat tool. Voice alerts in Afaan Oromo, Amharic, and Somali will share guidance with herders, including people who cannot read. The project will test whether this support helps communities follow grazing plans and reduce overgrazing during drought.
Photo credit: Steven Wade Adams
Project goal
Enable a majority of AfriScout’s more than 70 community grazing groups to use the chat tool for planning, and all groups to receive voice guidance. Aim for women to make up at least 40% of users, and evaluate effects on grazing-plan adherence and overgrazing.
Funding
USD 248,000
India
Foundation for Ecological Security
Declining groundwater, degraded land, and biodiversity loss threaten the resources rural communities depend on. Restoration efforts can be less effective when planning is fragmented and villages lack sustained support to carry out their plans. Foundation for Ecological Security, in collaboration with CommonsTech Foundation for Participatory Technologies (CFPT), is working to strengthen community-led restoration using CoRE Stack—a set of digital tools that helps communities plan and manage their land and water resources.
AI-usecase
AI is used to combine satellite data, research, and village observations to estimate how restoration measures could replenish groundwater, improve crops, and support forest growth. These insights will help communities choose suitable measures and track results. A new platform will also connect corporate and philanthropic funders directly with the local stewards supporting restoration.
Project goal
Expand support to 5,000 villages, increase restoration plans to 2,500, and grow the network of local stewards to 1,000. Create a platform connecting these stewards directly with corporate and philanthropic funders.
Funding
USD 192,000
Cohort 1
Program period: January 2026–June 2027
India
Acres of Ice
Project goal
Expand the model into two new countries, Nepal and Kyrgyzstan, providing more than 200 households with more reliable spring irrigation water and testing how the approach can work in different mountain environments.
Funding
USD 111,000
India
SEWA / IFPRI / Gram Vaani
Project goal
Reach more than 50,000 women across 22 districts with locally relevant climate advice, helping them prepare for climate shocks, protect their health and livelihoods, and improve access to finance.
Funding
USD 287,000
India
Acres of Ice
Acres of Ice works to improve water security for mountain communities that depend on glacial melt for farming and daily life. As glaciers retreat, water shortages during the spring growing season threaten harvests, household incomes, and communities’ ability to remain in their villages. Building on its work in the Indian Himalayas, the project is preparing to expand into Nepal and Kyrgyzstan.
AI-usecase
Acres of Ice builds artificial ice reservoirs that store excess winter water and release it for irrigation in spring. AI is used to estimate how much ice is stored using images from low-cost cameras. The project will also use AI to identify suitable locations for new reservoirs and automate operations, helping communities manage seasonal water supplies with fewer manual checks.
Project goal
Expand the model into two new countries, Nepal and Kyrgyzstan, providing more than 200 households with more reliable spring irrigation water and testing how the approach can work in different mountain environments.
Funding
USD 111,000
India
SEWA / IFPRI / Gram Vaani
Rural women workers in India face increasing threats from extreme heat, floods, and unpredictable weather. These conditions affect their health, income, and ability to work, yet general weather alerts often offer little guidance for their daily decisions. SEWA, IFPRI, and Gram Vaani are working together to make climate information more relevant and accessible to the women who need it.
AI-usecase
AI combines weather data with trusted human feedback loops to deliver practical advice in local languages through WhatsApp. Rather than simply reporting the forecast, the system helps women understand what changing conditions mean for their work and health. The aim is to support decisions that reduce risks, protect livelihoods, and provide financial opportunities for women to prepare for climate shocks.
Project goal
Reach more than 50,000 women across 22 districts with locally relevant climate advice, helping them prepare for climate shocks, protect their health and livelihoods, and improve access to finance.
Funding
USD 287,000
Indonesia
Saka Warga
Project goal
Test the coach in seven pilot villages and train 150 volunteers. Work toward integrating it into disaster-preparedness systems such as the Indonesian Red Cross, while using AtmaGO, a platform with over 16 million users, to encourage wider community participation and share preparedness knowledge.
Funding
USD 275,000
Brazil
GainForest
Project goal
Support at least 10 local communities to collect, store, and own more than 10,000 biodiversity observations and audio recordings. Use AI to classify and map this data, supporting thousands of impact certifications that can help attract conservation funding.
Funding
USD 285,000
Indonesia
Saka Warga
Rural villages in Indonesia face recurring floods, landslides and storms, yet disaster training is irregular and support often comes only after a crisis. Local volunteers play an important role in helping communities respond, yet they may have limited support between training sessions. Saka Warga is working to make practical preparedness guidance available before a crisis, helping remote villages understand their risks and organize locally.
AI-usecase
An AI coach helps volunteers learn about local hazards, map available resources, and prepare disaster drills through simple voice or text conversations in their own language. The tool provides ongoing guidance that volunteers can use alongside formal training, helping them turn information into practical preparations for their communities.
Project goal
Test the coach in seven pilot villages and train 150 volunteers. Work toward integrating it into disaster-preparedness systems such as the Indonesian Red Cross, while using AtmaGO, a platform with over 16 million users, to encourage wider community participation and share preparedness knowledge.
Funding
USD 275,000
Brazil
GainForest
Indigenous peoples and local communities protect some of the world’s most biodiverse forests, yet their conservation work often lacks sustained funding. The largest rainforests hold just 1% of global biodiversity data, making their ecological value and conservation needs harder to document. GainForest helps communities collect and use this evidence to support conservation funding, while retaining ownership of their data.
AI-usecase
GainForest’s Tainá platform uses AI to organize drone and phone images, audio recordings, and traditional knowledge into conservation evidence. It helps classify observations and connect them to specific locations, supporting impact reports and certifications. This makes community-led conservation easier to document and can help communities access funding for their work.
Project goal
Support at least 10 local communities to collect, store, and own more than 10,000 biodiversity observations and audio recordings. Use AI to classify and map this data, supporting thousands of impact certifications that can help attract conservation funding.
Funding
USD 285,000
Nigeria
GeoTek Water Solutions Ltd
Project goal
Drill 5 new wells and deploy 50 sensors across existing and newly constructed drinking-water facilities. Use the resulting data to improve monitoring, automate and improve the sustainability of water provision infrastructure, and guide well-drilling decisions for communities vulnerable to climate impacts.
Funding
USD 210,000
India
SEEDS
Project goal
Demonstrate a model for disaster support that can be expanded to other communities by enrolling 50,000 households across five districts in three Indian states. Each household will have an e-wallet linked to eligible benefits.
Funding
USD 275,000
Nigeria
GeoTek Water Solutions Ltd
Groundwater is an essential source of drinking water for rural and peri-urban communities in Nigeria. Yet boreholes and hand pumps often lack regular monitoring, making it difficult to identify water-quality problems or anticipate breakdowns. Geotek works to improve the reliability of these supplies as climate variability places greater pressure on local water resources.
AI-usecase
AI is used to combine satellite imagery, geological maps, community reports, and sensor readings to identify risks to water quality and pump reliability. The information also helps highlight communities vulnerable to climate impacts and guide decisions about where to drill new wells. Together, these insights support better planning, monitoring, and maintenance of drinking-water facilities.
Project goal
Drill 5 new wells and deploy 50 sensors across existing and newly constructed drinking-water facilities. Use the resulting data to improve monitoring, automate and improve the sustainability of water provision infrastructure, and guide well-drilling decisions for communities vulnerable to climate impacts.
Funding
USD 210,000
India
SEEDS
For families affected by floods and other climate-related disasters in India, losing a home or income is often followed by a difficult process of accessing support. Slow, paper-based systems can delay compensation or leave households without help. SEEDS is working to make disaster losses easier to document and connect affected families with the financial support they are eligible to receive.
AI-usecase
AI is used to check household damage reports and photographs against satellite and weather data to help verify disaster losses. Verified cases are then linked to government and donor support programs. The aim is to reduce delays and improve the fairness of compensation, with payments made directly to families’ accounts.
Project goal
Demonstrate a model for disaster support that can be expanded to other communities by enrolling 50,000 households across five districts in three Indian states. Each household will have an e-wallet linked to eligible benefits.
Funding
USD 275,000
Follow the progress in our latest report
Selecting the most promising projects
We seek pioneering solutions that empower communities with technology to lead the acceleration of system-level climate resilience.
01 /
The process
02 /
The advisory board
03 /
What we look for
Meet our advisors
Meet our advisors
Victor Galaz
Associate Professor in Political Science at Stockholm Resilience Centre & Stockholm University
Rachel Adams
Founder & CEO at Global Center on AI Governance
Anna Lerner Nesbitt
CEO at Climate Collective
Victor Galaz
Associate Professor in Political Science at Stockholm Resilience Centre & Stockholm University
Rachel Adams
Founder & CEO at Global Center on AI Governance
Anna Lerner Nesbitt
CEO at Climate Collective
Beth Tellman
Chief Science Officer & Co-founder at Floodbase
Meena Palaniappan
Founder & CEO at Atma Connect
Ameer A Eweida
Chief Scientist at MENA Oceans Initiative & Adjunct Professor at University of Miami
"At Klarna, we believe the true potential of AI lies in its ability to drive real-world change. Through AI for Climate Resilience, we’re using technology to empower communities to turn data into action — building resilience, protecting livelihoods, and accelerating adaptation where it’s needed most."
David Sandström, Chief Marketing Officer at Klarna
Learn more about Klarna's efforts
The AI for Climate Resilience Program is part of Klarna's broader commitment to climate action. Explore the rest of their work below.
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© Milkywire AB, 2026. All rights reserved. Mailbox 3306, 112 73 Stockholm, Sweden. All donations are handled by WRLD Foundation Sweden (registered with org ID No "802526 - 9328") and WRLD Foundation US (registered 501(c)(3) charity).
© Milkywire AB, 2026. All rights reserved. Mailbox 3306, 112 73 Stockholm, Sweden. All donations are handled by WRLD Foundation Sweden (registered with org ID No "802526 - 9328") and WRLD Foundation US (registered 501(c)(3) charity).