DataEnergy designs and builds high‑performance, AI‑optimized data centers in the Nordics that run exclusively on renewable hydropower. Their facilities use ultra‑dense white‑space modules with advanced air and liquid cooling to achieve low PUE, while capturing waste heat for local heating networks, delivering scalable compute capacity with minimal environmental impact.
Funding
Funding not disclosed
Founders
Product
Problem
Current data center infrastructure often relies on fossil-fuel electricity and conventional cooling methods, leading to high energy consumption, significant carbon emissions, and limited scalability for AI workloads. Additionally, waste heat from data centers is typically discarded, missing opportunities for community benefit.
Solution
DataEnergy designs and builds next‑generation, high‑performance data centers in the Nordics that are powered exclusively by renewable hydropower. The facilities use ultra‑dense white‑space modules combined with advanced air and liquid cooling to maximize compute efficiency while minimizing environmental impact. By locating the centers near renewable energy sources, DataEnergy reduces transmission losses and enables direct use of locally generated power. The company also captures and repurposes waste heat, integrating it into local heating networks to provide societal value. This approach delivers scalable AI‑optimized compute capacity with a sustainable, low‑carbon footprint.
Target Audience
Primary customers are cloud service providers, AI enterprises, and large‑scale compute users seeking high‑performance, environmentally responsible data center capacity in Europe.
Features
- Ultra‑dense white‑space blocks tailored for AI and high‑performance computing workloads
- Integrated air and liquid cooling systems that achieve high energy‑efficiency and reduce PUE
- 100 % renewable hydropower supply with on‑site power management to eliminate grid transmission losses
- Waste‑heat recovery infrastructure that feeds excess thermal energy into nearby community heating systems
- Modular, scalable design allowing rapid expansion of compute capacity while maintaining sustainability standards
- First‑principles site analysis focusing on climate, scale, and synergistic integration with local energy ecosystems