DataCrunch Raises $64 Million in Series A

DataCrunch, the AI Cloud providing model inference services, led by Ruben Bryon, Arturs Polis, Lena Belozerova, and others, has secured $64 million in Series A funding led by byFounders, Skaala, Varma Mutual Pension Insurance Company, and Tesi, with participation from J12 Ventures, and select angel investors. A portion of the round includes debt financing led by Nordea, Armada Credit Partners, with participation from Danske Bank, Norion Bank, and LocalTapiola.

The DataCrunch Cloud Platform powers AI workloads for startups like 1X and Unbabel, enterprises such as Sony and Freepik, and public institutions. In early 2025, the company became one of the first to offer on-demand access to the NVIDIA® HGX B200 platform, launched Instant Clusters with InfiniBand™ interconnect for self-serve distributed training, and introduced Serverless Containers for scalable inference. DataCrunch was also awarded bronze in SemiAnalysis’s GPU Cloud ClusterMAX™ Rating System, matching Google Cloud Platform and outperforming over 100 other providers.

Europe’s dependence on U.S. hyperscalers creates risks in data security, compliance, and cost efficiency. DataCrunch is addressing this with a sovereign, GDPR-compliant AI cloud that keeps data in Europe and beyond the reach of the U.S. Cloud Act.

AI infrastructure is energy-intensive, but it can be sustainable. DataCrunch powers all operations in Finland and Iceland with 100% renewable energy, leveraging the Nordics’ clean electricity and cooling efficiency to scale while minimizing environmental impact.

The investment will support the deployment of GB300 and B300 systems powered by NVIDIA’s Blackwell architecture and expand DataCrunch’s footprint with a new site in Akaa, Finland, enhancing low-latency, sovereign infrastructure for European companies.

A proposal has been submitted to the European Commission, with support from the Republic of Latvia and partner organizations, to build one of Europe’s first AI GigaFactories—a facility with up to 100,000 accelerators that would provide secure compute capacity within EU borders for startups, SMEs, and research institutions.

In the coming months, DataCrunch will roll out Managed Kubernetes, distributed object storage, and managed inference endpoints with custom acceleration for language, audio, image, and video models, alongside continued platform improvements from IAM and APIs to network automation and cold start times. The goal remains clear: to deliver a one-stop AI development platform built on accessible, affordable, and sustainable infrastructure.