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Flox Intelligence Developed AI Wildlife Deterrents

The startup aims to scale its automated acoustic deterrent systems to prevent infrastructure damage.

Updated on Oct. 13, 2026 in Artificial Intelligence

Isometric editorial illustration showing a grey cylindrical sensor device on a metal post at a forest edge, representing AI infrastructure.
Flox Intelligence has deployed 150 AI-based edge devices globally to deter wildlife from transportation infrastructure and reduce costly animal strikes. AI Illustration. Upload story photo >

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Spun out of the KTH Royal Institute of Technology in 2020, Flox Intelligence developed an AI-based system designed to prevent wildlife strikes on transportation infrastructure. The company currently has 150 devices deployed across North America, Europe, and Australia.

Why it matters

Traditional deterrents such as lights and sirens are frequently ineffective, leading to significant costs like the $272 million annual impact of wildlife strikes on U.S. civil aviation. Flox seeks to replace these static measures with adaptive AI that learns to deter animals more reliably.

The system utilizes edge devices equipped with motion sensors and cameras, which activate to identify animals before emitting species-appropriate sounds. These units are currently deployed in 150 locations, with the company aiming to increase this to several thousand.

The players

Flox Intelligence

A startup focused on AI-based wildlife deterrent hardware and software that spun out of the KTH Royal Institute of Technology.

Alstom

A multinational rail transport manufacturer that maintains an OEM partnership with Flox Intelligence.

KTH Royal Institute of Technology

A Swedish technical university that serves as the research origin for the Flox platform.

The details

Flox Intelligence employs edge devices—hardware that processes data locally rather than in the cloud—to monitor protected areas for wildlife. When motion sensors trigger the unit, an on-device AI model analyzes the animal to determine the appropriate non-habitual sound required to deter it. This approach attempts to overcome the limitation of static sirens or lights, which animals often grow accustomed to over time.

Timeline

  1. 2020: Flox Intelligence spun out of the KTH Royal Institute of Technology.

  2. 2023: Brittany, France, recorded 120 train-animal collisions resulting in 15,000 minutes of delays.

  3. October 13, 2026: Article published.

  4. October 15, 2026: TechCrunch Disrupt event concludes.

The Tech Race

Flox Intelligence is attempting to modernize wildlife mitigation strategies that have historically relied on ineffective static hardware. The company is currently scaling its operations as it vies for market share in the infrastructure protection sector.

The system impacts industrial and transportation workflows by reducing delays caused by wildlife, such as the 15,000 minutes of train delays recorded in Brittany in 2023. Infrastructure operators pay for these capabilities via a hardware unit purchase coupled with an annual AI subscription.

The takeaway

Flox Intelligence is transitioning from research-based deterrents to a commercial service model for rail and transport infrastructure. Investors and industry stakeholders should monitor whether the firm reaches its goal of several thousand deployed units by the end of 2026.

What happens next

Flox Intelligence is currently opening a $10 million Series A funding round to support its expansion goals.

Further reading

Explore more about how edge computing is applied in industrial settings in our Artificial Intelligence section.

Live Poll

Is now a good time to deploy AI solutions for wildlife safety on transportation infrastructure?