We’re excited to announce the winners of the Technology for Evolving Challenges in Humanitarian Contexts (TECH) 4 Resilience Challenge. As communities around the world grapple with the impacts of climate change, from extreme weather events like floods and droughts to the loss of livelihoods, advances in technology and Artificial Intelligence (AI) are creating new opportunities to tackle climate and humanitarian crises in emergency contexts. These tools offer promising opportunities to develop solutions that are locally rooted, scalable, and predictive.
Against this backdrop, TECH, launched in collaboration with Gates Foundation and Trafigura Foundation, aims to identify and support innovations that apply AI to real-world challenges. These include reducing the impacts of extreme climate events in emergency settings and strengthening Anticipatory Action (AA) frameworks to manage crises better before they escalate. Following a global call for proposals, we received more than 300 applications, and selected fifteen finalists. The finalists participated in a mentoring programme that included a Leadership Academy and networking opportunities with potential donors. From this group, eight winners have now been selected.
Each winner will receive tailored leadership and mentoring support, communications support, and preparation for pitching opportunities with potential investors. They will also receive up to USD 50,000 in funding to further develop and scale their solutions.
Meet the winners:
Organization: Hushaid
Project title: Predictive SRHR Triage in Emergencies
Country: Nigeria
Hushaid is an AI-powered system that helps identify and prioritize people’s health needs during climate-related emergencies such as floods and displacement. In crises, women and young people often lose access to essential sexual and reproductive health (SRHR) services, leading to untreated infections, maternal complications, and preventable deaths. Hushaid uses an AI-driven questionnaire to assess individual health risks and connect users to consultations, medications, and mobile diagnostic services.
Organization: Tigrai ICT Professionals Association (TIPA)
Project title: AI-Powered Community Resilience
Country: Ethiopia
Tigrai ICT Professionals Association (TIPA)
Communities in Tigray, Ethiopia, face recurring droughts and floods that threaten food security, strain health systems, and undermine long-term stability. Women and young people, who make up more than half of those affected, bear the greatest impacts yet often lack access to timely information and decision-making processes. This initiative introduces an AI-powered Resilience Intelligence Platform that combines climate forecasts, local data, and community reports to produce localized, practical insights. Delivered through mobile tools, local radio, and community hubs, and co-designed with women, young people, and persons with disabilities, the platform supports anticipatory action on food, water, and livelihoods, shifting resilience from reactive aid to proactive, community-driven solutions.
Organization: The Migrasia Center for Global Assistance Inc.
Project title: AI-Powered Urban Disaster Alerts
Country: The Philippines
Migrasia’s solution is an AI-powered disaster early warning and evacuation guidance system designed for internal migrant communities in the Philippines. By integrating real-time climate and hydrological data with community mapping, it forecasts floods and delivers hyperlocal alerts through trusted channels such as SMS, social media, radio, and chatbots, reaching even those without internet access. The system focuses on women and youth migrants, providing clear and practical evacuation guidance. Building on Migrasia’s AI and humanitarian expertise, the project strengthens community resilience by ensuring that migrant populations are informed, prepared, and protected from recurring climate disasters through timely, data-driven, and locally grounded early warning communication.
Organization: Mercy Corps Europe (MCE), through its implementation office in Nepal (MCNP)
Project title: Enhancing Anticipatory Action through AI
Country: Nepal
Mercy Corps Europe (MCE)
AI4Ready will be piloted in flood and heat-affected municipalities of Sudurpaschim Province, serving as a digital co-pilot that brings together four tools: Smart Document Intelligence, the Vulnerability and Exposure Dashboard, the Early Warning Trigger Assistant, and the Community Feedback Monitor.
The platform gathers alerts from national and local sources, translates advisories into Nepali, and produces concise one-page field reports. By transforming complex and fragmented information into clear, actionable guidance, AI4Ready aims to support faster, evidence-based, and inclusive anticipatory action.
Organization: Vikāra Institute
Project title: TerraSignal Resilience Platform
Country: Mozambique
Vikāra Institute
TerraSignal is an AI‑enabled platform that fuses climate, earth‑observation, and socio‑political signals to inform anticipatory action on Mozambique’s coast. Using adaptive, community-driven approaches to risk intelligence, it combines generative AI with participatory design, transforming complex environmental and social data into insights that communities can access, interpret, trust, and act on. It integrates slow-onset climate signals, historical weather events, and social dynamics, incorporating feedback loops where community input refines the model. The initiative aims to improve anticipatory planning and foster stronger collaboration between local and institutional actors. By providing clearer, earlier, and more context-specific guidance for managing climate risks, TerraSignal supports coastal communities in responding more effectively and builds greater climate resilience.
Organization: GOAL Global
Project title: ANCHOR for Cholera
Countries: Ethiopia, Niger, Sierra Leone, South Sudan, Sudan, Zimbabwe
Cholera affects millions and causes thousands of deaths each year. Climate-driven outbreaks can overwhelm communities without effective surveillance and early warning systems. Activating Neighbourhoods & Communities for Holistic Organized Response (ANCHOR) is GOAL’s proven approach to managing disease outbreaks, now being adapted specifically for cholera using the latest AI technologies. ANCHOR provides communities and health system actors with real-time information by integrating community-led surveillance, predictive analytics, model validation, and multi-channel communication. This approach enables hyperlocal early detection, anticipatory action, and rapid response coordination.
Organization: Sudan Urban Development Think Tank
Project title: DARAJA+ AI for Sudan
Country: Sudan
DARAJA+AI for Sudan uses generative AI to support the dissemination of extreme weather early warnings to communities. It addresses language and literacy barriers by producing timely, clear, and actionable audio messages tailored to specific geographic and demographic groups. The AI rapidly converts technical text-based forecasts into audio adapted to local languages and dialects, generating versions for each state and locality to reach low-literacy users. These outputs are optimized for delivery via social media, local radio, and IVR. The expected impact includes faster delivery of localized warnings in Sudanese Arabic and priority local languages, improved comprehension, especially among women and young people, and stronger community-led anticipatory action.
Organization: Yayasan Sakawarga
Project title: AI for Community Resilience
Country: Indonesia
Yayasan Sakawarga
This initiative employs an AI-powered Resilience Coach, a tool designed to transform one-off disaster programs into continuous community readiness. The Coach uses conversational AI, through voice and text, to learn from prior practice, adapt to local contexts, and provide guidance, delivering critical information on preparedness and response when it is needed most. Building on partnerships with the Red Cross and local governments, it is implemented through Community-Based Action Teams (CBATs), women’s groups, and youth leaders in Indonesian villages. The Coach guides residents through procedures, drills, and risk mapping in their own language, overcoming literacy barriers. By continuously learning and personalizing support, it helps ensure that preparedness is sustained between disasters.