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Nordic Hardtech Weekly #41: When infrastructure thinks like nature

What happens when infrastructure has to make decisions on behalf of animals? Flox’s edge-based approach shows why autonomy, hardware constraints and fast iteration matter when AI leaves the cloud.

Nordic Hardtech Weekly #41: When infrastructure thinks like nature
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At the edge.

Where systems meet behavior.

When animals move through roads, railways and airports, infrastructure has to respond to living behavior — fast, locally and without room for error.

In this issue, we speak with Tomas Becklin, CTO and co-founder of Flox, about building edge-based hardware that guides animal behavior using sound. It’s a conversation about autonomy, constraints and what it really takes to deploy AI in unpredictable, safety-critical environments.


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This week: Edge hardware meets wildlife through Swedish Flox.

Teaching infrastructure to speak animal

Nordic Hardtech Podcast dives into the world of hardtech and entrepreneurship. Host Jonas Åström meets with the people building real tech. 🎧 Stream this featured episode on Spotify.

When wildlife enters roads, railways and airports, the consequences are immediate. Flox CTO Tomas Becklin explains how edge hardware, acoustics and AI are being used to guide animal behavior where infrastructure can’t afford hesitation.

Wildlife doesn’t respect system boundaries. It moves when it moves, often into places built for speed, predictability and flow. Roads, railways and airports were never designed to negotiate with living behavior, yet that is increasingly what they are forced to do.

– We like to say that we actually speak to animals using a language they understand, says Tomas Becklin, CTO and co-founder of Flox.

The idea behind Flox is deceptively simple: Identify the animal. Understand its behavior. Respond with a sound the animal instinctively recognizes. No fences, no physical barriers, no mechanical shock. Just a signal that makes sense to the animal in that moment.

"They quickly become limiting factors"

Flox’s systems use onboard AI to infer both species and behavior in real time. Based on that assessment, the device plays an acoustic signal designed to trigger a natural response, guiding the animal away from sensitive infrastructure.

– We’re not trying to scare animals. We’re trying to give them a signal they already understand, says Tomas.

The concept grew out of early research and drone experiments, initially aimed at keeping wild boars away from farmland. At the time, drones seemed like a flexible way to cover large areas and react dynamically.

– Drones were useful for exploration, but they’re hard to scale commercially. Regulation, operations and reliability quickly become limiting factors, says Tomas.

That insight pushed the team in a different direction. Instead of something that moves, Flox began building something that could stay put: a small, autonomous edge device designed for permanent installation.

Most of the time, it sleeps

Mounted near roads, railways or airport perimeters, the device sits quietly in the landscape. It has no visible signals and no constant connection to the cloud. Most of the time, it sleeps.

– The system has to be invisible until it matters. When something happens, it needs to wake up, understand the situation and respond immediately, Tomas explains.

Those requirements place hard constraints on the hardware. Flox ruled out Linux-based boards early due to boot times and power consumption. Instead, the system runs on microcontrollers, optimized to remain dormant until something actually happens.

Motion detection became another bottleneck. Early prototypes covered too little ground, which would have required large numbers of devices to protect real infrastructure.

– We knew we had to extend the range significantly, Becklin says. – Otherwise the system wouldn’t be viable in practice.

"We’re seeing success rates around 95 percent"

By redesigning sensor placement and optics, the team significantly increased the effective range, a solution that is now patent-protected. In field deployments, the results have been strong.

– With our edge system, we’re seeing success rates around 95 percent, Becklin says.

Today, Flox’s primary customers are infrastructure owners such as transport authorities and airports, where wildlife incidents translate directly into safety risks and operational costs. That context has also shaped how the company thinks about value.

– Customers aren’t buying a box. They’re buying access to a wildlife platform, says Tomas.

That focus on outcomes over hardware has influenced more than pricing. It has also shaped how Flox builds and tests new systems, with an emphasis on speed and real-world feedback over polish.

– You need to get to a prototype as quickly as possible. Before that, you don’t really have anything.

Catch the full interview with Tomas Becklin from Flox on Spotify.

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