Semi-finalist
2025 Global Climate Challenge

Climate Resilience Platform

Team Leader
Natalia Mykhaylova
WeavAir is an AI-powered digital twin platform that enables real-time monitoring, prediction, and optimization of climate resilience and carbon reduction efforts across buildings, infrastructure, agriculture, and energy systems. The platform combines three core components: WeavDetect: A modular network of IoT sensors, drones, and satellite hyperspectral imaging that collects granular data on over 20 environmental, infrastructure, and energy variables, including temperature,...
What is the name of your organization?
WeavAir
What is the name of your solution?
Climate Resilience Platform
Provide a one-line summary or tagline for your solution.
A digital twin platform that uses AI, satellite data, and sensors to accelerate climate adaptation and zero-carbon development.
In what city, town, or region is your solution team headquartered?
Singapore
In what country is your solution team headquartered?
SGP
What type of organization is your solution team?
Hybrid of for-profit and nonprofit
Film your elevator pitch.
What specific problem are you solving?
WeavAir addresses the urgent global challenge of climate vulnerability and high carbon emissions in urban infrastructure, energy systems, and agriculture. Over 3.6 billion people live in highly climate-vulnerable regions, where heatwaves, floods, and extreme weather events are increasingly frequent due to climate change. Globally, buildings account for 39% of CO₂ emissions, agriculture for 22%, and energy systems for 73%. Yet most of the affected communities lack access to data, tools, and funding to monitor and reduce these emissions or adapt infrastructure for resilience. Current monitoring systems are fragmented, expensive, or slow to deploy, making it difficult for governments and organizations to make informed, proactive decisions. Many communities rely on outdated or reactive strategies that fail to address real-time risks or emissions hotspots. This results in billions in losses annually from disasters, poor energy efficiency, and delayed adaptation. WeavAir solves this by offering a scalable, AI-powered digital twin platform that combines satellite imagery, IoT sensors, and predictive analytics. This enables continuous monitoring of emissions, infrastructure risks, and energy performance—200x faster than traditional methods, at a fraction of the cost—empowering overburdened cities and rural regions to take timely action and meet climate goals.
What is your solution?
WeavAir is an AI-powered digital twin platform that enables real-time monitoring, prediction, and optimization of climate resilience and carbon reduction efforts across buildings, infrastructure, agriculture, and energy systems. The platform combines three core components: WeavDetect: A modular network of IoT sensors, drones, and satellite hyperspectral imaging that collects granular data on over 20 environmental, infrastructure, and energy variables, including temperature, humidity, emissions, airflow, soil moisture, and equipment condition. WeavPredict: A proprietary predictive AI engine trained on over 10 years of global data that identifies anomalies, predicts failures, and generates operational and emissions reduction insights 200x faster and with 95% accuracy, minimizing energy waste, downtime, and environmental risk. WeavConnect: An expert decision-support system that integrates diagnostics and predictions into actionable strategies to improve decarbonization ROI, regulatory compliance, and disaster preparedness. It also streamlines ESG and climate reporting, enabling easier access to climate finance. WeavAir has already been deployed in over 8 countries across Asia, North America, and Europe, empowering governments, developers, and industrial operators to cut emissions by up to 30%, reduce energy costs by 25%, and improve climate resilience in vulnerable communities. [Video demo available upon request]
Who does your solution serve, and in what ways will the solution impact their lives?
WeavAir serves underserved and climate-vulnerable communities—urban and rural populations living in regions facing high exposure to extreme weather, poor infrastructure, energy insecurity, and limited access to climate finance. This includes: Urban low-income households in aging buildings with poor insulation and ventilation Smallholder farmers facing unpredictable weather, soil degradation, and irrigation challenges Municipal governments in developing regions with limited capacity for emissions tracking and resilience planning Industrial and commercial operators lacking tools to measure and manage environmental risks These communities often lack real-time data, predictive insights, or resources to take proactive action. As a result, they face higher energy bills, poor indoor air quality, infrastructure failures, and devastating climate impacts such as floods, heatwaves, and crop losses. WeavAir improves lives by delivering a low-cost, scalable platform that provides: Up to 30% energy savings through predictive maintenance and efficiency improvements 25% lower operating costs via early risk detection and automation 95% accurate insights to support climate adaptation, emissions reduction, and disaster resilience Improved access to green financing through transparent ESG reporting By empowering local stakeholders with actionable intelligence, WeavAir reduces carbon footprints, improves health, enhances food security, and supports long-term resilience in communities most at risk.
Solution Team:
Natalia Mykhaylova
Natalia Mykhaylova