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Tomas Becklin

Co-founder & CTO at Flox Intelligence

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Overview

Tomas Becklin is co-founder and CTO at Flox Intelligence [1][3], a company focused on edge AI for infrastructure and wildlife coexistence [2]. Becklin's career began as one of the first engineers at MySpace [2] and has included leadership roles across multiple sectors. Becklin served as VP Engineering at Zeitview (formerly DroneBase) from May 2015 to December 2019 [7], VP Product Development and Engineering at StackCommerce from July 2014 to April 2015 [8], and CTO at Squabbler from November 2012 to May 2014 [10]. Becklin also founded StandUp Lab, serving as Founder and CEO from December 2019 to December 2023 [5], and co-founded 2Heal Medical AB as CTO from September 2021 to September 2023 [6]. Becklin has served as technical advisor at dataPlor since March 2016 [4].

Profile introduction
Source excerptLinkedIn [2]

After 25 years in California, I’m back home in Sweden building Flox Intelligence: edge AI that helps infrastructure coexist with wildlife. My career began as one of the first engineers at MySpace, where I helped scale the platform to more than 100 million users. Since then, I’ve spent two decades founding companies and leading engineering and product teams across media, commerce, aerial data, health technology, and deep tech. At SlingShot Labs and StackCommerce, I led technology and engineering through periods of high growth and acquisition. At Zeitview, formerly DroneBase, I joined as the f…

Career history

  1. Co-founder & CTOJan 2024 to presentFlox Intelligence
  2. Technical AdvisorMar 2016 to presentDataplor
  3. Founder & CEODec 2019 to Dec 2023StandUp Lab
  4. Co-Founder & CTOSep 2021 to Sep 20232Heal Medical AB
  5. VP EngineeringMay 2015 to Dec 2019Zeitview (formerly DroneBase)
  6. VP Product Development / EngineeringJul 2014 to Apr 2015StackCommerce
  7. Technical AdvisorFeb 2014 to Jul 2014LivnGiv - Dine Like You Give A Damn.
  8. CTONov 2012 to May 2014Squabbler

Insights & ideas

The through-line

Across every appearance of this material, the recurring preoccupation is the same: reducing conflict between wildlife and infrastructure through technology that changes animal behavior rather than physically blocking it. The consistent framing is a system that identifies animals in real time and responds with sound they instinctively understand, positioned explicitly as an alternative to fences, barriers or harm [1][2][3][4]. The discussion also repeatedly extends this core idea into the practical constraints of building and selling such a system as physical hardware, deployed in extreme environments and sold into critical infrastructure sectors [4].

On guiding animal behavior without physical barriers

The central idea attributed to him is that wildlife-infrastructure conflicts, such as reindeer near Arctic roads or animal strikes at airports, can be managed by playing sounds animals instinctively respond to rather than by erecting fences or other physical barriers [1][2][3][4]. This is framed as both a technical approach, combining AI and acoustics to identify species and trigger the right response, and a design philosophy that prioritizes non-invasive, harm-free intervention over traditional physical exclusion methods [1][3][4].

On edge computing for safety-critical deployments

The conversation covers why edge computing is preferred over cloud processing in safety-critical settings of this kind, though the notes do not elaborate on the specific reasoning beyond flagging it as a discussion point [4]. This sits alongside broader technical requirements for the hardware: it needs to withstand cold, sustain battery life, and operate at the speed required for real-time animal detection and response [4].

On building and selling deployable hardware

The material also covers the trajectory of the hardware itself, described as moving from drones to deployable hardware, and the commercial side of getting this kind of autonomous system into the field [4]. This includes selling to airports, rail and road operators as the customer base for infrastructure-focused wildlife management, and the broader challenge of scaling and funding hardware ventures across Europe and the US [4].

Takeaways

  • The system is built to identify animals in real time and play sounds they instinctively understand, guiding behavior without fences, barriers or harm [1][2][3][4].
  • Target use cases include reindeer near Arctic roads and wildlife risks at airports [4].
  • Edge computing is favored over cloud processing for safety-critical deployments [4].
  • Hardware design has to account for cold environments, battery life and response speed [4].
  • The product line evolved from drones toward deployable hardware [4].
  • The customer base is framed around airports, rail and road operators [4].
  • Scaling and funding hardware ventures across Europe and the US is treated as a distinct commercial challenge [4].

Media & appearances

  • Nordic Hardtech Podcast (formerly Hårdvarupodden)Apple Podcasts
    35. Tomas Becklin – Teaching Infrastructure to Speak Animal with Flox#35. Teaching Infrastructure to Speak Animal with FloxTomas Becklin, CTO and co-founder of Flox, joins our podcast to explain how AI, acoustics and edge computing can reduce conflicts between wildlife and critical infrastructure. Flox builds systems tha
  • Acast Podcasts
    35. Tomas Becklin – Teaching Infrastructure to Speak Animal ...Listen to 35. Tomas Becklin – Teaching Infrastructure to Speak Animal with Flox from Nordic Hardtech Podcast (formerly Hårdvarupodden). #35. Teaching Infrastructure to Speak Animal with FloxTomas Becklin, CTO and co-founder of Flox, joins our podcast to explain how AI, acoustics and edge computing can reduce conflicts between wildlife and critical infrastructure.Flox builds systems that identify animals in real time and play sounds they instinctively understand, guiding behavior without fences, barriers or harm. In this conversation, Tomas walks through the technical and commercial realities of deploying autonomous hardware in extreme environments, from reindeer near Arctic roads to wildlife risks at airports.In this episode:✅ Guiding animal behavior with sound, not fences✅ Why edge beats cloud in safety-critical settings✅ From drones to deployable hardware✅ Hardware built for cold, battery life and speed✅ Selling to airports, rail and road operators✅ Scaling and funding hardware across Europe and the USThis episode was recorded in collaboration with Lightbringer. Protecting your IP is critical, but it shouldn’t slow you down. Lightbringer offers an AI-powered platform to simplify and accelerate the patent process. Find out more.Connect & ContributeHave a guest we should feature? An idea worth exploring?
  • nordichardtech.com
    EP 35: Tomas Becklin – Teaching Infrastructure to Speak ...#35. Teaching Infrastructure to Speak Animal with Flox Tomas Becklin , CTO and co-founder of Flox , joins our podcast to explain how AI, acoustics and edge computing can reduce conflicts between wildlife and critical infrastructure. Flox builds systems that identify animals in real time and play sounds they instinctively understand, guiding behavior without fences, barriers or harm. In this conver
  • iVoox
    35. Tomas Becklin – Teaching Infrastructure to Speak Animal ...Escucha este episodio de Nordic Hardtech Podcast (formerly Hårdvarupodden) gratis en iVoox. #35. Teaching Infrastructure to Speak Animal with FloxTomas Becklin, CTO and co-founder of Flox, joins our podcast to explain how AI, acoustics and...
  • Spotify
    35. Tomas Becklin – Teaching Infrastructure to Speak Animal ...

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