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Top 7 Finalists Announced for SAFE STEPS D-Tech Awards at Echelon 2025
We are thrilled to announce the Top 7 finalists who have made it to the final stage of the SAFE STEPS D-Tech Awards 2025, created by Prudence Foundation and supported by strategic partners the International Federation of Red Cross and Red Crescent Societies (IFRC), Amazon Web Services (AWS), United Nations Office for Disaster Risk Reduction (UNDRR), Malaysian Research Accelerator for Technology & Innovation (MRANTI), and e27 for its 2025 edition.
SAFE STEPS D-Tech is a global platform that finds, funds, and supports innovative technology solutions that help save lives before, during, and after disaster events. The initiative is part of Prudence Foundation’s broader mission to build safer, more resilient communities across Asia and Africa.
This year, the competition focuses on two critical themes:
On 11 June 2025, the finalists will present their innovations live in Echelon 2025 Singapore, Asia’s leading tech conference. The D-Tech Awards Finals event will also be streamed online on Prudence Foundation platforms, giving global audiences a chance to witness the next wave of disaster resilience technology.
A panel of industry, investment, and humanitarian experts will evaluate the finalists, and winners will be awarded cash prizes from pool of USD150k in value.
Join us in building a disaster resilient future through technology. Mark your calendar and visit for updates.
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Learn about the top 3 finalists below.
INDIA
Skye Air delivers life-saving medical supplies to remote and rural regions of India using drones, bridging critical healthcare access gaps. With over 25,000 flights and 1 million packages delivered, the solution ensures timely access to medicines, vaccines, and diagnostics, improving healthcare equity through climate-resilient logistics.
UNITED KINGDOM
Mat Zero offers a portable, energy-efficient heated mat for post-disaster medical settings, ensuring safe and reliable warmth for patients in field hospitals and emergency shelters. Designed for durability and rapid deployment, the solution operates on low power or portable batteries, enhancing critical care delivery during disasters.
INDONESIA
Plant A Sensor democratizes air quality monitoring through a network of affordable, high-precision sensors that deliver real-time, localized air pollution data. The program empowers governments, NGOs, businesses, and communities with actionable insights to safeguard public health, improve air quality, and enhance disaster resilience in urban and rural areas.
Learn about the top 4 finalists below.
PetaBencana.id transforms social media into a real-time disaster coordination network. Using AI-driven chatbot technology, the platform collects, verifies, and maps crowd-sourced disaster information directly from affected communities. This open-access system enhances decision-making for governments, responders, and the public, ensuring life-saving, actionable insights.
HONG KONG
The Climate Risk Model & Analytics (CRMA) platform by YoujiVest is an AI-powered SaaS solution that predicts, quantifies, and mitigates climate-induced health risks. By integrating climate modeling, geospatial intelligence, and financial analytics, CRMA enables proactive planning and resource allocation to strengthen public health resilience against extreme weather, air pollution, and disease outbreaks.
LookOut Wildfire Detection SaaS is an AI-powered early detection and alert system for wildfires. Compatible with existing cameras, smartphones, and webcams, it offers rapid deployment, accurate detection, and real-time alerts. The solution fosters collaboration between governments, responders, and communities, enhancing wildfire preparedness and prevention.
NEPAL
DASTAA is a modular platform that empowers governments, humanitarian agencies, and communities to implement proactive disaster management through household-level risk assessments, early warning systems, and anticipatory action planning. The platform integrates digital and spatial technologies to automate hazard modeling and enable data-driven disaster preparedness.
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