Flox Intelligence develops AI system to deter wildlife from infrastructure

Addressing Wildlife-Infrastructure Conflicts

Flox Intelligence is developing an AI-driven system to mitigate conflicts between wildlife and human infrastructure. This initiative addresses significant issues such as train delays and aviation incidents caused by animal encounters. For example, the FAA estimates wildlife strikes cost U.S. civil aviation an average of $272 million annually between 1990 and 2025. French rail operator SNCF reports that wandering animals affect over 8,000 trains yearly, contributing to significant delays.

A New Approach to Deterrence

Sara Nozkova, founder of Flox Intelligence, developed this system after observing the limitations of traditional deterrents like sirens, lights, and fences. Her experience in transportation and autonomous vehicles highlighted how existing systems struggle with the unpredictable nature of outdoor environments. Nozkova's approach focuses on adaptive responses rather than simply louder or more aggressive deterrents.

AI and Edge Computing for Adaptive Responses

The core of Flox Intelligence's technology involves AI that can change its deterrent responses based on an animal's behavior and species. This system utilizes edge devices to process data locally, rather than relying on cloud-based processing. This allows for real-time, context-aware adjustments to deter wildlife effectively and reduce incidents.

Company Background

Flox Intelligence spun out of the AI lab at KTH Royal Institute of Technology in Stockholm in 2020. The company is a finalist at this year’s Startup Battlefield 200 pitch competition at TechCrunch Disrupt.