野生动物与交通设施的冲突构成全球性挑战。美国民航管理局估计野生动物撞击造成的年均损失约272万美元1，而法国国铁公司SNCF表示游荡动物每年影响该国8000多列火车的运行1。英国布列塔尼地区2023年的情况更为严峻，120列火车撞击动物事故导致660项服务中断，累计延误超过15000分钟1。
针对这一问题，AI初创公司Flox Intelligence开发了一套防御系统，利用物种特定声音和边缘计算设备来阻止野生动物靠近铁路、机场和道路1。由Sara Nozkova创办的该公司已融资约500万美元，其中种子轮由Unconventional Ventures和Tilia Impact Ventures领投1。目前约150台Flox设备已在北美、欧洲和澳大利亚部署1，并与列车制造商Alstom建立合作关系1。公司预计2026年末收入约150万美元1，正在筹备1000万美元的A轮融资1。
Wildlife collisions pose a significant financial and operational burden to transportation networks worldwide. The U.S. Federal Aviation Administration estimates that wildlife strikes cost approximately $2.72 million annually 1, while France's national railway operator SNCF reports that roaming animals affect over 8,000 trains per year in the country 1. In the British region of Brittany alone, 120 train collisions with animals occurred in 2023, resulting in 660 service disruptions and delays exceeding 15,000 minutes 1.
To address this challenge, Flox Intelligence, an AI startup founded by Sara Nozkova, has developed a system that uses species-specific sounds and edge computing devices to deter wildlife from approaching railways, airports, and roads 1. The company has raised approximately $5 million across pre-seed and seed funding rounds, with the seed round led by Unconventional Ventures and Tilia Impact Ventures 1. Currently, roughly 150 Flox devices are deployed across North America, Europe, and Australia, with partnerships including train manufacturer Alstom 1. The company projects revenue of approximately $1.5 million by the end of 2026 and is preparing for a $10 million Series A funding round 1.
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