BUILDING A MACHINE LEARNING SENSOR NETWORK FOR EARLY DETECTION AND GROWTH PREDICTION

We are working to bring to life early detection technology that utilizes remote sensors capable of identifying everything from sparks on utility infrastructure that could lead to a devastating wildfire and predictive monitoring of maintenance needs to fever detection during a global pandemic and measuring air quality, including methane gas.

The applications of this technology are limitless and will work to help prevent disasters, reduce production and maintenance costs and save lives.

Our History

SensoRy AI was founded after a submission for a grant was awarded by the Office of Naval Research (ONR) for Phase I and Phase II funding under their Naval Science Award. The grant is for the development of a predictive monitoring system for maintenance needs of the U.S. Navy and Marine Corps.

Prior to the ONR grant, the vision behind SensoRy AI was developed by Ryan Honary, who created a concept for a remote detection system capable of predicting and detecting wildfires in real-time after he witnessed the devastation caused by the Camp Fire in Northern California in 2018.

His idea went on to win the Ignite Innovation Student Challenge held in partnership by Tata Consultancy Services and Discovery Education, and then evolved into the project being developed for the ONR.

While Ryan’s concept laid the foundation for SensoRy AI, the company’s efforts are now driven by the top artificial intelligence engineers. The team’s work encompasses not only the project for the ONR, but also a mission to create technology that is capable of preventing damage caused by natural and infrastructure disasters on the environment.

For Logistics

Endless applications mean endless opportunities.

For the Environment

Our technology was initially designed to prevent wildfires.

For the Environment

Our technology was initially designed to prevent wildfires.

For Logistics

Endless applications mean endless opportunities.

Our History

SensoRy AI was founded after a submission for a grant was awarded by the Office of Naval Research (ONR) for Phase I and Phase II funding under their Naval Science Award. The grant is for the development of a predictive monitoring system for maintenance needs of the U.S. Navy and Marine Corps.

Prior to the ONR grant, the vision behind SensoRy AI was developed by Ryan Honary, who created a concept for a remote detection system capable of predicting and detecting wildfires in real-time after he witnessed the devastation caused by the Camp Fire in Northern California in 2018.

His idea went on to win the Ignite Innovation Student Challenge held in partnership by Tata Consultancy Services and Discovery Education, and then evolved into the project being developed for the ONR.

While Ryan’s concept laid the foundation for SensoRy AI, the company’s efforts are now driven by the top artificial intelligence engineers. The team’s work encompasses not only the project for the ONR, but also a mission to create technology that is capable of preventing damage caused by natural and infrastructure disasters on the environment.