Problem
Human-wildlife conflicts in areas like airports, agricultural fields, and urban settings cause collisions, crop damage, and safety hazards, leading to economic losses and harm to both animals and humans. Traditional methods often fail to manage these issues effectively and sustainably.
Solution
With a cutting-edge, autonomous Wildlife platform that utilizes genAI, machine learning, and robotics paired with the best of wildlife science . Deployed on diverse hardware such as drones, trains, and stationary devices, the system detects and manages wildlife in real time across multiple species. This scalable solution minimizes upfront costs through a SaaS model, ensures regulatory compliance, and adapts to various geographic and industrial environments, effectively reducing risks and promoting safer, sustainable coexistence between humans and wildlife.
