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DataCrunch
Public profile- Helsinki, Finland
- 11-50 collaborators
- IT Consulting
- and 1 others
- Helsinki, Finland
- 11-50 collaborators
- IT Consulting
- and 1 others
Overview DataCrunch
https://datacrunch.ioAbout us
What we do: DataCrunch is a European cloud service provider specializing in premium dedicated GPU servers and clusters optimized for machine learning and AI workloads. We deliver cost-effective, scalable, and high-performance AI computing infrastructure, including on-demand GPU clusters, AI model hosting, autoscaling containers, and serverless inference services. Our infrastructure is designed to provide raw computational power at unmatched prices, targeting AI researchers, developers, and enterprises seeking efficient AI cloud solutions.
Where we are located: Our headquarters are in Helsinki, Finland. We operate data centers in Finland and Iceland, leveraging Nordic locations for their low energy and cooling costs and commitment to sustainability.
Short history: Founded in 2020 by Ruben Bryon, DataCrunch has quickly established itself as a next-generation AI cloud provider. We were among the first worldwide to offer H200 and B200 GPU instances and instant clusters. Recently, we closed a $13 million seed funding round to scale our infrastructure and expand our market presence.
Organization & culture: DataCrunch is a public company with a team size estimated between 11 and 51 employees. Our culture emphasizes developer-first simplicity, relentless efficiency, direct access to AI experts, radical transparency, and a strong commitment to security, sustainability, and trust. We foster close customer-engineer interaction and prioritize innovation and optimization in AI computing.
Recent developments: We have launched dynamic pricing to offer market-value GPU instances and optimized image generation to be 54% faster with the same specifications. Our distributed inference playbook achieves 300% faster inference for only a 28% price increase. These innovations underline our commitment to delivering cutting-edge AI infrastructure efficiently and sustainably.
Company roles mapping
This mapping combines roles declared by the company and roles identified by artificial intelligence from public data or past job offers. Some job titles are also standardised according to the European ESCO nomenclature (European Skills, Competences, Qualifications and Occupations) to ensure consistency with European skills frameworks. Learn more about AI transparency and ESCO →
- Software developer
- IT manager
- Sales manager
Employee distribution by work field
Estimate based on public data and company information. Learn more about AI transparency →






