Business for Good Podcast Using Wildlife Intelligence to Prevent Animal Collisions with Sára Nožková
Apr 1, 2026
35:38
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 applications of AI.
- How mission-driven founders can combine software, hardware, and science to build practical climate and conservation businesses.
- Wildlife Intelligence: A practical AI category focused on detecting, interpreting, and influencing animal behavior to reduce conflict with human infrastructure.
- Adaptive Species-Specific Playlists: Tailored sound interventions matched to species, context, landscape, and behavior, then improved through repeated interactions.
- AI for Real-World Physical Systems: A framework for applying AI beyond software-only use cases by combining data, hardware, and scientific expertise to solve measurable problems in the field.