News

News & Updates

Stay informed about our latest announcements, press releases, publications, partnerships, and more.

Announcements

Latest news

NATO DIANA programme lab environment setup
Programme

NATO DIANA Innovator

Selected by NATO's Defence Innovation Accelerator for federated AI in contested environments.

TechSweden Security Award presentation by Minister of Defence Pål Jonson
Recognition

TechSweden Security Award

Presented by Minister of Defence Pål Jonson. Awarded for sovereign edge AI infrastructure deployed in active defence programmes.

BAE Systems Bofors hardware field test operation
Field demonstration

BAE Systems Arctic Demo

Autonomous drones learning and operating in contested Arctic environments. No central data link, no raw data leaving the device.

Workshop

A practical federated learning session

A technical walkthrough for data scientists and ML engineers focusing on the practical requirements of establishing a federated learning network.

Data scientists collaborating during a technical Scaleout federated learning session
Articles

Blog posts

Title Action

What did this update cost us elsewhere?

When a model keeps learning after it ships, four quiet metrics reveal what each update cost elsewhere.

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Scaleout and AI Verse Partner on Tactical Edge AI

Combining sovereign edge AI infrastructure with procedural synthetic data to close the defence training-data gap.

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Scaleout wins the 2026 TechSweden Security Award

National recognition presented by Minister of Defence Pål Jonson for sovereign tech infrastructure.

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From Detection to Autonomous Action on the Edge

Engineering drone intelligence: turning on-board perception into spatial awareness and autonomous response.

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Akkodis and Scaleout Accelerate Secure Edge AI

Strategic partnership combining rugged industrial hardware assets with federated learning loops.

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Unlocking Isolated Data Silos with Federated SSL

Leveraging self-supervised pre-training to bypass raw data inconsistency across edge fleets.

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AI Everywhere points to Edge AI

Why true continuous adaptation requires shifting computation boundaries away from public clouds.

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Fighting Back Against Attacks in Federated Learning

Testing EE-Trimmed Mean defenses against malicious node poisoning inside our simulator tray.

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Edge AI: A Comprehensive Guide to Real-Time AI

A complete primer on running AI on local edge devices for low-latency, private, real-time inference.

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Federated Learning: Train AI Without Moving Data

An introduction to the decentralised approach that trains models across distributed data without centralising it.

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Scalable Federated Learning with FEDn

A comprehensive overview of FEDn's three-tier architecture for production-grade, geographically distributed FL.

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From Satellites to Fleets: Research Initiatives

Overview of four live research tracks across orbital telemetry and autonomous vehicular networks.

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Federated Learning with 10,000 Asynchronous Clients

Benchmarking core engine scalability across intermittently connected network infrastructures.

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Data Selection on the Edge for Adaptive ML

Filtering optimal training frames on device without dispatching raw intelligence feeds.

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Collaborative AI for Lung Cancer Detection

Cross-hospital algorithmic training case study meeting clinical privacy regulations.

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Fleet Intelligence with Mixture-of-Experts FL

Architecting resource-efficient routing architectures for deep connected network systems.

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Vertical Federated Learning with FEDn

Cooperative modeling mechanics across complementary feature parameters with zero data sharing.

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