Using Wildlife Intelligence to Prevent Animal Collisions with Sára Nožková

Using Wildlife Intelligence to Prevent Animal Collisions with Sára Nožková

April 1, 2026 · 36 min · Season 7 · Episode 187

About this episode

This episode discusses how AI can help prevent animal collisions by communicating with wildlife through innovative technology.

Episode Summary: What if AI could help prevent bird strikes, train collisions, and livestock attacks by communicating with wild animals in ways they already understand? In this episode of Business For Good, Paul Shapiro speaks with Sára Nožková, CEO and Co-founder of Flox Intelligence , about building AI systems designed to detect wildlife and guide animals away from danger. Sára explains how her company combines machine learning, wildlife science, and real-world infrastructure applications to reduce human-wildlife conflict across airports, train tracks, roads, farms, and other critical areas. Rather than relying on blunt deterrents, Flox develops species-specific audio responses and adaptive systems that learn from animal behavior over time. Things You Will Learn: How Flox Intelligence uses AI vision, sensors, and species-specific audio to keep animals away from dangerous infrastructure. Why airports, rail systems, farms, and public agencies have economic incentives to reduce human-wildlife conflict. How wildlife communication research is shaping a new category of AI-powered biodiversity solutions. Why solving physical, measurable problems may be one of the strongest long-term…

More episodes of Business for Good Podcast

Explore listener stats, chart rankings, contacts and more on the Business for Good Podcast podcast page.