TDC NET operates Denmark's primary telecommunications backbone, connecting the country's businesses, hospitals, schools, and homes across multiple network types. The tech stack reveals a shift toward production AI: LangGraph, LangChain, and RAG systems appear alongside Python and Kubernetes, paired with active projects on agentic workflows and LLM automation. Simultaneously, the company is rethinking microwave strategy and facing pressure on capacity, latency, and procurement efficiency—suggesting infrastructure modernization is underway while internal tooling and security maturity remain focal points.
TDC NET is Denmark's primary telecommunications operator, responsible for connecting the country's population and enterprises via landline, mobile, fiber, and microwave networks. The company traces its lineage to 1882 and operates at national scale, managing critical digital infrastructure across regions from the North Sea coasts to the Baltic. With 1,001–5,000 employees and headquarters in Copenhagen, TDC NET balances legacy network maintenance with deployment of next-generation fiber and microwave infrastructure. The organization is actively adopting AI-driven internal systems and automation tooling while addressing core operational challenges around network reliability, procurement, and cybersecurity posture.
TDC NET uses Excel, Power BI, Active Directory, Python, Kubernetes, and increasingly LangGraph, LangChain, and RAG for AI-driven systems. LangGraph, LangChain, and MCP indicate investment in production-grade large-language-model automation and agentic workflows.
Core projects include next-generation microwave network design, production-grade LLM systems for automation, agentic workflows with planning loops, RAG pipelines, and dashboard performance reporting. The company is also rethinking microwave strategy and improving procurement and security maturity.
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