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NATO-backed Scaleout Systems adapts AI for autonomous drone recon and attack

Scaleout Systems, founded in 2018 by researchers from Uppsala University in Sweden, originally built machine‑learning models for commercial trucks and vehicles. After Russia’s full‑scale invasion of Ukraine in 2022, the company shifted to defense, saying the conflict showed a need to operationalize edge sensor data for NATO allies. CEO and co‑founder Andreas Hellander explained that the startup…

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Key points

  • Scaleout Systems, a NATO‑backed startup, was founded in 2018 by Uppsala University researchers.
  • Following Russia’s 2022 invasion of Ukraine, the company pivoted to defense, targeting edge AI for drone surveillance and attacks.
  • Selected for NATO’s DIANA Challenge in 2025, it adapts computer‑vision models to run on drone hardware, pilot tablets, and field command posts.

The firm was chosen for NATO’s Defence Innovator Accelerator for the North Atlantic (DIANA) Challenge Program in 2025. Within the DIANA framework, Scaleout is developing the Federated Aerial Intelligence for Recon project, which adapts computer‑vision models for edge computing platforms used in surveillance and attack missions. Hellander emphasized that the models must fit a wide range of edge devices, from tiny embedded chips to more powerful edge workstations, to give NATO allies a strategic advantage in modern warfare.

Full story from Ars Technica AI · by Jeremy HsuOpen source ↗

NATO-backed startup adapts AI for autonomous drone recon and attack missions

Ars Technica AI · 17 September 2026

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This text was published by Ars Technica AI and written by Jeremy Hsu. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Scaleout SystemsUppsala UniversityAndreas Hellander

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