AI Startup Expanse Lands $5.3M to Kill the Guesswork in AI Compute

Jan de Vries · 2026-09-16

### Expanse's Big Bet: Predict AI Workloads Before They Run Expanse, an AI infrastructure company, just raised $5.3 million (€4.5 million) in Seed funding to expand its engineering team, speed up product development, and get its tech into more hands. The round was led by Crane Venture Partners, with participation from PXN Ventures, AIP Seed, and angel investors including former DeepMind researchers. So what's the big idea? Expanse's software predicts what an AI workload needs before it runs. That means less over-allocation, fewer failed jobs, and more value squeezed out of the GPU infrastructure you already own. As Ismaeel Bashir, co-founder and CEO of Expanse, puts it: "Today, every AI workload begins with an educated guess. Engineers shouldn't have to predict exactly how much compute their code will need before they press run. The machine should carry the uncertainty, not the person." ### Riding the 2026 AI Infrastructure Wave Expanse's Seed round lands right in the middle of a broader investment surge. In 2026 alone, European AI infrastructure startups have pulled in roughly $2.1 billion (€1.92 billion), according to EU-Startups. That total is heavily skewed by London-based Nscale's massive $1.8 billion (€1.7 billion) Series C for vertically integrated compute infrastructure. Other notable rounds include: - London-based Callosum raising $92 million (€85.4 million) to route workloads across different AI models and chips - Helsinki-based Verda securing $108 million (€100 million) for AI cloud infrastructure - Vienna's Ora Computing pulling in $3.8 million (€3.5 million) for model compression and inference efficiency - Switzerland's AI Infrastructure Capital AG with $17 million (€16 million) - Danish startup Velatir with $5.4 million (€5 million) - Prague cloud platform Zerops with $1.8 million (€1.7 million) The UK is particularly well-represented, with Nscale and Callosum leading the charge. Callosum, like Expanse, is building software to allocate AI workloads more efficiently across available compute. ### Why This Matters for Your AI Workloads Unlike traditional monitoring tools that tell you what happened after a job finishes, Expanse works before execution begins. It installs directly into your cloud or on-premises infrastructure and analyzes workloads without code or telemetry ever leaving your environment. That means you can optimize performance while keeping data sovereignty intact. "The future of AI won't be defined only by who builds the biggest clusters, but by who uses them most intelligently," says Scott Sage, co-founder and Partner at Crane Venture Partners. "Expanse gives organizations something they don't have today: certainty. By predicting exactly what every workload needs before it runs, customers recover existing capacity, reduce waste and extend the life of some of the world's most valuable infrastructure. We believe that's a new and important category in AI infrastructure." ### The Team Behind the Tech Expanse was founded in 2025 by four University of Edinburgh graduate engineers who previously built and operated large-scale compute infrastructure across quantitative finance and national supercomputing facilities. While at the Edinburgh Parallel Computing Centre (EPCC), co-founder Ismaeel Bashir developed a multimodal HPC resource prediction system that predicted resource requirements across HPC workloads. Together with co-founders Nikodem Bieniek, Eren Mendi, and Yafet Melake, Bashir recognized that even the world's most sophisticated compute environments still relied on manual estimation to allocate resources efficiently. That's the gap Expanse is filling. ### What's Next for Expanse? With fresh capital in the bank, Expanse plans to grow its engineering team and accelerate product development. The company aims to reach wider industry adoption, helping more organizations unlock the full potential of their AI infrastructure. If you're tired of guessing how much compute your AI workloads need, Expanse might just be the answer.