Kvistlund backs AI-native startups rebuilding European logistics and supply chains from the software layer. Seed and Pre-Seed.
Not digitization, not dashboards — companies where machine learning is the core product. The data flywheel has to be the business model, not a bolt-on.
Nordic and DACH supply chains are among the most complex and data-rich in the world. Founders building here have access to enterprise buyers US companies spend years trying to reach. We invest in that structural advantage before the US market notices it.
We've held the roles our founders are now automating. Our partners have built dispatch systems, run warehouse operations under SLA pressure, and written the forecasting models that WMS vendors sell as black boxes. We diligence from experience, not pattern-matching.
The Partners
VP Engineering at a freight-tech exit (Gothenburg, acq. 2019). Seven years before that building route optimization and dispatch systems at a Nordic 3PL. Founded Kvistlund in 2020.
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Nine years running supply chain operations — distribution across 14 European markets at a Scandinavian FMCG group, then COO at a warehouse automation startup in Stockholm. Joined Kvistlund in 2021.
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ML engineer by training. Built demand forecasting models at a Nordic grocery retailer, then worked at a Berlin-based logistics AI startup. Joined Kvistlund in 2023 to lead technical diligence.
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We back founders at seed and pre-seed — typically the first or second institutional check. If you're building a company where the ML model is the product, not the feature, and the domain is logistics or supply chain, reach out early. We don't need a deck to have a first conversation.