Submitted
2025 Global Climate Challenge

WindTL

Team Leader
Rocio Frej Vitalle
WindTL combines state of the art data ingestion and fusion methods to gather timely and accurate input data dynamically in real-time from any available sources, it leverages cutting-edge machine learning and cloud technologies to speed up the computation of fire models, and it packages open source and proprietary fire detection, propagation, and mitigation software in an easy to use, highly...
What is the name of your organization?
SkyTL
What is the name of your solution?
WindTL
Provide a one-line summary or tagline for your solution.
A risk mitigation platform to protect communities from the escalating effects of natural disasters
In what city, town, or region is your solution team headquartered?
Tampa, FL, USA
In what country is your solution team headquartered?
USA
What type of organization is your solution team?
For-profit, including B-Corp or similar models
Film your elevator pitch.
What specific problem are you solving?
As the LA fires took 25 lives, left 200,000 people forced to evacuate, and destroyed 12,000 structures, we reflect on the escalating effects of wildfires. Only in the US, the cost of wildfires is between $394 billion to $893 billion each year. But we are facing a global issue. In 2023, wildfires led to 3,670 civilian deaths and 13,350 injuries worldwide. And the numbers keep increasing. Data reveals that forest fires are burning nearly twice as much tree cover today as they did 20 years ago. As the risks continue to increase, the development of technology to predict and manage these threats is more critical than ever. Imagine a world where we could outsmart wildfires, predict their chaotic spread, and shield communities from catastrophic outcomes. That world is closer than ever. Academic researchers have studied how to predict and prevent the effects of wildfires for years. But those studies are only used in academia and hardly in operations, because of several main reasons: the lack of accurate and timely input data, the need for high computing systems to provide information in a timely manner, and the complexity to use these programs by those in the field.
What is your solution?
WindTL combines state of the art data ingestion and fusion methods to gather timely and accurate input data dynamically in real-time from any available sources, it leverages cutting-edge machine learning and cloud technologies to speed up the computation of fire models, and it packages open source and proprietary fire detection, propagation, and mitigation software in an easy to use, highly intuitive user interface that operators can access through the web. WindTL isn't just another algorithm; it's a lifeline. Through the combination of artificial intelligence and science, WindTL has overcome some of the most challenging issues of preventing and predicting wildfires, as the accurate propagation of embers, the silent killer of wildfire destruction: ember spread, responsible for a staggering 90% of structural losses and was a major drive of the LA devastation. By deploying a combination of academic wildfire solutions, enhanced with in-house machine learning based algorithms, WindTL allows any untrained user to model the spread of embers doing an active or future fires in no time. Video of product: https://www.youtube.com/watch?si=Y8yFTal1chYte7su&v=CboN9Q_LJag&feature=youtu.be
Who does your solution serve, and in what ways will the solution impact their lives?
WindTL helps fire departments, communities, and municipalities in wildfire prone areas to effectively reduce risk, apply vegetation management strategies, and during an active fire, become alert of new hazards as the fire evolves, generate evacuation orders, effectively deploy resources, and integrate data from all resources in the field (vehicles, firefighters, IoT devices) to constantly stay aware of the potential evolution of fire. After a fire, WindTL helps communities and municipalities to effectively deploy restoration projects.
Solution Team:
Rocio Frej Vitalle
Rocio Frej Vitalle
CEO