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Scaleout is a Swedish deep tech company developing a sovereign edge AI platform for federated learning in disconnected and contested environments. Scaleout Edge acts as a secure control plane for machine learning, enabling organisations to deploy, manage, and update models across large fleets of distributed devices such as vehicles, drones, and sensors.
By moving machine learning directly to the data source, the system supports continued operation and model adaptation during communication disruption. This flexible architecture preserves data sovereignty while reducing network dependence and centralised data transfer.
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Scaleout is a team of data scientists, machine learning engineers, software engineers, and entrepreneurs. Experienced from both academic research and industry with backgrounds from Google, SAAB, BCG, Autodesk, Viacom and more.
Andreas Hellander
CEO & Co-founder | Associate Professor
Andreas holds a PhD in scientific computing and an MSc in Biotechnology engineering. He is an Associate Professor at Uppsala University, where he leads the Integrative Scalable Computing Laboratory. An experienced R&D leader, he brings deep technical expertise and management experience to Scaleout.
Salman Toor
CTO & Co-founder | Associate Professor
Salman holds a PhD in scientific computing and is an expert in distributed infrastructure performance, scalability, and scientific data management. As CTO, he leads Scaleout’s R&D and technology initiatives. He is also an Associate Professor at Uppsala University, specialising in solutions for data-intensive applications and e-infrastructure.
Ebba Kraemer
CCO & Co-founder
Ebba is a product strategist specialising in commercialising highly innovative technologies. Her experience includes authoring global product strategies for multi-billion dollar services at Google. She has a robust background in strategy consulting at BCG, software product ownership, and enterprise sales for cloud infrastructure.
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BAE Systems Bofors developed an autonomous long-range drone system for Arctic operations in just five months. The system was built with Nordic and Ukrainian startups and academic partners, using a modular design that adapts to different mission profiles and launch platforms.
Autonomy is driven by an Edge AI framework from Scaleout. The drones train and update models locally through federated learning, allowing them to operate independently in disconnected or contested environments without relying on centralised data links.
Further background on the programme is covered in this interview in Dagens Industri with Lena Gillström (CEO at Bofors): https://www.di.se/digital/bofors-rekordbygger-dronare-oppnar-for-miljardaffarer/
Swedish National Space Agency and Scaleout are collaborating on a research project to reduce bandwidth demands and increase autonomy in satellite operations across civilian and defence missions.
The project applies active learning directly on satellites to filter and prioritise data before downlink, combined with federated learning between satellites and ground stations. This allows AI models to improve without sharing raw data, preserving security and data sovereignty.
A prototype will be tested in anomaly detection, collaborative object detection, and defence-oriented C4ISR scenarios, enabling timely insight even in bandwidth-constrained or disrupted environments.
Further details on the programme are available via the Swedish National Space Agency:
https://www.rymdstyrelsen.se/innovation/beviljade-bidrag/innovationsutlysning-2025-inom-programmet-for-rymdteknik-med-dubbla-anvandningsomraden/redefining-space-data-infrastructure/
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