Technosylva
Predict, Mitigate, and Prevent Wildfire Risk

Effectively managing wildfire risk extends beyond predicting where and when wildfire ignitions will occur. It demands a comprehensive understanding of the consequences of wildfires, including the potential loss of life, property and other assets at risk.

This understanding serves as the foundation for proactive steps to prevent future tragedies. Achieving this requires a holistic assessment of the fire's location, its behavioral patterns within the environmental conditions, the safety of first responders and the public, and the availability of resources to effectively respond to the emergency.

Mitigating wildfire risk in real-time may seem daunting, but Technosylva is making it feasible with its expertise and technological excellence.

Technosylva employs advanced technology to predict and mitigate wildfires. The approach is highly detailed and considers numerous factors in their risk forecasts. It combines advanced data sources, industry leading models and validated wildfire behavioral science that are improved with sophisticated AI and machine learning techniques, to predict, mitigate, and help prevent wildfire risks.

Advanced data sources include LiDAR and multispectral sensors to closely examine vegetation and terrain conditions, high-resolution weather models to explain the interaction of microscale weather conditions with the effects the fire creates, and advanced understanding of drought and climate change impacts, to understand the extreme conditions communities are facing globally.

This information helps clients take proactive measures to reduce these risks, such as vegetation management projects and infrastructure asset hardening to protect communities and securing power lines.

Proactive information also affords the ability to prioritize areas based on changing risk forecasts and establish readiness levels for fire agencies and first responders. To accomplish all of this, Technosylva utilizes supercomputers to perform over 1.5 billion simulations every day, covering the most fire prone areas worldwide.

After analyzing the data, Technosylva can predict the severity of any potential fire in the analyzed territory, as well as estimate whether it's likely to be a major threat or not. This knowledge helps to prepare and allocate resources to address wildfire, especially when it poses a risk to critical facilities like communities, hospitals, or other critical infrastructures as powerlines. The California Dept. of Forestry and Fire Protection, better known as CAL FIRE, uses Technosylva as the critical component of its planning, and operational response and suppression decision making platform.

During an active wildfire incident, Technosylva helps clients make critical decisions on how and when to respond. In these cases, it assesses vulnerable assets, such as buildings and people, by incorporating data on how wildfires could impact these assets.

Taking into consideration all these aspects, an assessment is made that involves running simulations to predict the fire's potential path, the number of structures at risk, and what actions to take. This way, clients can make well-informed, real-time decisions to effectively manage the pending situation. All this information is delivered to fire agencies and utilities to better respond to actual fires, whether it just started, or if it is already a major incident.

“Our tools can predict how fires will behave. By continuously tracking ongoing incidents and comparing our predictions with what happens on the ground integrating live data from fire agencies, our modeling has become very reliable and accurate,” says Joaquin Ramirez Cisneros, founder and Chief Innovation Officer of Technosylva.

The validation of Technosylva tools is published in peer-reviewed scientific journals to demonstrate accuracy and reliability in an open-science approach. This unique combination of data and operational validation done globally distinguishes Technosylva from others in the sector.

The robust data backed by millions of simulations has yielded positive results for multiple clients including leading electric utilities. For instance, PG&E has seen a 68 percent decrease in fire ignitions compared to the previous year and a 99 percent reduction compared to the three-year average. These figures come from their official reports, not just estimates.

By continuously tracking ongoing incidents working with leading wildfire agencies and comparing our predictions with what actually happens, our modeling has become very reliable and accurate

San Diego Gas and Electric is another success story. They've gone 15 years without causing a catastrophic fire, after adopting world class solutions in their wildfire mitigation plans, Technosylva played a key part in this effort, that started in 2015.

Helping multiple clients reduce wildfire risks since 1997, Technosylva has seen substantial growth in the past 10 years. It is dedicated to advancing this field through a diverse team of global experts, including scientists who publish their advances in prestigious journals like Nature.

With a team that covers a wide range of expertise, from remote sensing to fire weather and applied mathematics, it works with utilities and fire agencies to meet the distinct challenges in the field. Technosylva also has a joint venture with the USFS Missoula Fire Lab, allowing scientists and technologists to translate research into practical solutions.

The commitment to mitigating the potential damages from wildfires, coupled with its cutting-edge technology, makes the world safer by facilitating innovative tools and strategies for effective wildfire management and prevention.