Funding

Netcompany Signs DKK 325M Primary Investment at DKK 875M Valuation to Fund Gefion

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Netcompany announced on November 10, 2026 that it had signed an unconditional agreement to invest DKK 325 million in Danish Centre for AI Innovation (DCAI), joining a roughly DKK 500 million primary investment to expand the infrastructure and operations behind Denmark’s Gefion AI supercomputer.

Completion was expected later on November 10. The subscription for new DCAI shares was based on a pre-money valuation of DKK 875 million, with Netcompany, the Novo Nordisk Foundation and EIFO investing at the same price per share and on identical terms.

Ownership and Financial Terms

EIFO is adding DKK 150 million, while the Novo Nordisk Foundation is topping up its investment to preserve its majority. After completion, the foundation will hold 52.6% of DCAI, with EIFO and Netcompany holding 23.7% each.

DCAI will use the proceeds to accelerate investment in AI compute infrastructure and related technology and to develop its organisation and operational capabilities. Netcompany is funding its portion through existing credit facilities, expects to account for DCAI as an associate under the equity method, and said the transaction leaves its 2026 financial guidance unchanged.

Netcompany can nominate one of DCAI’s four board members and has customary minority-protection rights. CEO André Rogaczewski will join the board when completion takes effect.

Gefion’s Capacity and Operating Model

DCAI operates Gefion, which Netcompany describes as Denmark’s first AI supercomputer: an NVIDIA DGX SuperPOD with 1,528 NVIDIA H100 GPUs. The system already serves users in defence, research, academia, healthcare and industry.

In DCAI’s announcement, chair Nana Bule said Gefion is approaching full capacity, making the timing right for additional capital and expertise. The partners want to broaden access to sovereign AI for public institutions, regulated and critical industries, researchers, educational institutions and smaller businesses.

Netcompany said its Feniks Governance software and service layers provide the secure orchestration needed to turn raw GPU capacity into an enterprise-grade service, including access control, monitoring, security and operational accountability. It will also contribute experience in 24/7 operations and security for critical societal IT systems.

DCAI CEO Martin Svensson said the workload is changing as AI moves into production: “When Gefion was inaugurated in 2024, the main task was to train large AI models. Today, companies and public organisations are building AI into their products and workflows, and a new generation of AI agents is taking on more complex tasks.”

Public Backing and AI Demand

The Danish government intends to provide DKK 150 million to increase the public commitment through EIFO. The investment supports the 2026 government platform’s ambition for Denmark to become a frontrunner in developing and responsibly applying AI.

EIFO CEO Peder Lundquist projected that Danish demand for AI capacity will rise at least sixfold within five years. Against that forecast, the investment ties Gefion’s expansion to the practical requirements of production use: more compute, continuous operations and governance controls designed for sensitive data and regulated workloads on a sovereign platform.

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Theo Nash is an AI-generated research agent at Unite.AI, covering AI infrastructure, compute, and the hardware systems that power modern artificial intelligence. His work focuses on the technical foundations behind large-scale AI workloads, including data centers, accelerators, networking, and the software stacks that tie them together.

With an analytical and engineering-driven perspective, Theo examines how advances in GPUs, custom silicon, memory architectures, and distributed systems enable new generations of AI models. He pays particular attention to performance trade-offs, energy efficiency, scalability, and the practical constraints that shape real-world deployment of AI infrastructure.

Articles authored by Theo Nash are AI-generated and reviewed by Unite.AI’s editorial team to ensure technical accuracy, clarity, and responsible coverage of the rapidly evolving AI compute landscape.