Infrastructure for distributed AI

Scaleout builds infrastructure for machine learning in distributed environments. Our platform, Scaleout Edge, lets organisations train and manage models across decentralised systems without moving sensitive data. Data stays where it belongs while models improve collectively.

Our mission

AI systems are increasingly built on data that cannot be centralised. Medical records, industrial data, defence systems and connected devices all operate in environments where data must remain local.

Our mission is to make it possible to train and operate AI across these environments without moving sensitive data. By enabling organisations to collaborate on machine learning while retaining full control over their data, we help build more secure, resilient and trustworthy AI systems.

Scaleout was founded in 2018 by researchers from Uppsala University working on large-scale distributed systems and scientific computing.

Published Papers
100+
PhDs
7
Associate Professors
2

Our team

Scaleout is a team of data scientists, machine learning engineers, software engineers, and entrepreneurs. The team combines academic research and industry experience, with backgrounds at Google, Saab, BCG, Oracle and MySQL.

  • Andreas Hellander

    Andreas Hellander

    Co-Founder / CEO

  • Salman Toor

    Salman Toor

    Co-Founder / CTO

  • Daniel Zakrisson

    Daniel Zakrisson

    Co-Founder / COO

  • Jens Frid

    Jens Frid

    Co-Founder / CMO

  • Ebba Kraemer

    Ebba Kraemer

    Co-Founder / CCO

  • Fredrik Wrede

    Fredrik Wrede

    Head of Engineering

  • Mattias Åkesson

    Mattias Åkesson

    Senior FL Engineer

  • Stefan Hellander

    Stefan Hellander

    CISO

  • Niklas Holmström

    Niklas Holmström

    Software Developer

  • Viktor Valadi

    Viktor Valadi

    ML Engineer

  • Jonas Frankemölle

    Jonas Frankemölle

    ML Engineer

  • Katja Hellgren

    Katja Hellgren

    ML Engineer

  • Carl Andersson

    Carl Andersson

    ML Engineer

  • David Hovstadius

    David Hovstadius

    ML Engineer

  • Sigvard Dackevall

    Sigvard Dackevall

    ML Engineer

  • Muhammad Usama

    Muhammad Usama

    ML Researcher

  • Rasmus Maråk

    Rasmus Maråk

    Research Engineer

  • Lucas Beerens

    Lucas Beerens

    MLOps Engineer

  • Robin Kurtz

    Robin Kurtz

    Senior ML Researcher

  • Srihaarika Vijjappu

    Srihaarika Vijjappu

    ML Engineer

  • Magnus Blåudd

    Magnus Blåudd

    Principal Software Developer

  • Svea Ottestig

    Svea Ottestig

    Operations

Press

We've been featured in leading Swedish tech and business media.

Explore the platform

Discover how sovereign edge infrastructure keeps AI adaptive, resilient, and secure. No matter the network or data constraints.

Explore the platform Download the platform overview →
Adaptive Learning
Models train where the data lives, evolving continuously across distributed fleets without exposing sensitive information.
Resilient Networks
Stay operational even when disconnected, edge nodes sync automatically, ensuring training never stops and intelligence never fades.