
As urbanization and climate change accelerate, environmental protection has never been more critical. Sensory AI is developing technology that monitors vulnerable ecosystems and predicts risks before they become disasters.
By placing intelligent sensors at the network’s edge, our system provides 24/7 monitoring of environmental conditions, delivering instant alerts and predictive insights. This constant awareness helps safeguard communities, protect natural resources, and create a more sustainable future.
Inspired by the devastating Camp Fire in California, which killed 83 people, Ryan Honary set out to build technology that could prevent such catastrophic wildfires.
What began as a science project is now Sensory AI—an enterprise solution combining machine learning, edge sensors, and a mission to protect both people and the planet.
 
															





The idea emerged in 2018 when Ryan saw footage of the deadly Camp Fire. He was traveling at the time and the burning hills resembled those near his home, prompting him to call his mom to ensure she was safe.
He watched the news in dismay as 85 people were killed and over 18,000 structures destroyed. After learning that most of the devastation occurred within the first six hours, he grew determined to make a difference.
This paper was co-authored by our founder, Ryan Honary, retired fire captain and fire behavior specialist Captain Jeff Shelton, and Dr. Kavehpour, Professor of Mechanical and Aerospace Engineering at UCLA. The paper explores the physics of fire and emphasizes the critical importance of ultra-early detection, particularly for wind-driven wildfires. It also provides a comprehensive analysis and comparison of existing technologies, products, and solutions for wildfire detection. Published in the American Society of Mechanical Engineers’ Open Journal of Engineering in January 2025, it has consistently ranked among the Top 3 Most Read papers in the publication.
