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Scaleout
Scaleout enables enterprises to train and operate machine learning models where the data lives, avoiding raw-data transfers and preserving data sovereignty. It does this via its FEDn federated…
Scaleout
Scaleout enables enterprises to train and operate machine learning models where the data lives, avoiding raw-data transfers and preserving data sovereignty. It does this via its FEDn federated…
TL;DR
What they do: Federated learning platform (Scaleout Edge / FEDn) for privacy-preserving, cloud–edge distributed ML
Founded: 2018 (spinoff from Uppsala University)
Tech focus: Production federated learning, Kubernetes deployment, integrations with TensorFlow/PyTorch/MLflow
Target customers: Regulated and distributed environments (automotive, defense, industrial IoT)
Notable investors: Almi Invest, Navigare Ventures, Fairpoint Capital, NATO DIANA
Company Overview
Problem Domain
Privacy-preserving, distributed machine learning and edge-cloud orchestration for regulated industries
Founded
2018
Industry
Information Technology
Tech Stack
Funding Track Record
1.5 million EUR
Seed round investors reported to include Navigare Ventures, SEB:s Utvecklingsstiftelse, Almi Invest, and Uppsala University Invest
35 MSEK
Follow-on round reported with Fairpoint Capital joining and co-leading alongside Navigare Ventures
Investor Signal
“Has participation from regional venture investors and strategic investors (examples reported: Navigare Ventures, Almi Invest, Fairpoint Capital, NATO DIANA)”
Founders
What we do
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