Traditional methods of wildfire prediction often rely on historical data and meteorological models, often leading to errors and insufficient time for effective response.
Recognizing the gravity of this challenge, Calgary’s Skymount Global is harnessing the potential of AI and advanced machine learning algorithms to create a platform capable of delivering timely and precise wildfire predictions.
Skymount’s Firemark AI can accurately forecast wildfire events up to 30 days in advance, boasting an accuracy rate of up to 90%.
By foreseeing fire events in advance, stakeholders can proactively allocate resources, devise evacuation plans, and implement preventive measures to safeguard lives, property, and the environment.
As the fire event draws nearer, the platform’s precision becomes even more refined, offering unmatched accuracy to facilitate proactive wildfire management and prevention efforts.
The inaugural version of Firemark AI is slated for release to emergency response teams, governmental agencies, utility providers, insurance companies, and communities by mid-September 2023.
“As climate change continues to intensify, wildfires pose an escalating threat to global communities,” stated Zubin Kothawala, CEO of Skymount Global.
“The convergence of rising temperatures, prolonged droughts, and shifting weather patterns has created conditions conducive to the rapid proliferation and intensification of wildfires. The urgency for effective wildfire prediction and management has never been more pronounced. With an estimated total carbon footprint of 270 million tonnes in 2021, wildfire emissions were the leading source of greenhouse gases that year—equivalent to the emissions of 60 million cars over a year.”