AI-powered access to Welund intelligence

More than keyword search

Traditional search systems look primarily for matching words and phrases. Welund.ai goes further. It creates a semantic index of Welund material, allowing the system to identify meaning and relationships between subjects even when different terminology is used.

A search for “attacks on energy infrastructure”, for example, can also identify material relating to pipeline sabotage, electricity substations, power grids, telecoms infrastructure and similar threats.

Ask questions, not search terms

Instead of manually searching through reports, users can ask questions such as:

“What are the main threats to European energy infrastructure from activist groups?”

Welund.ai identifies the most relevant material in the intelligence database and passes it to a powerful AI model for analysis.

Grounded in Welund intelligence

Welund.ai does not rely solely on the general knowledge of a public chatbot. Welund’s own intelligence is retrieved and placed in front of the AI before it answers.

This approach is known as Retrieval-Augmented Generation, or RAG.

Welund.ai combines an intelligent search engine with an AI analyst. The search system finds the relevant Welund intelligence; the AI reads it and produces the answer.

Intelligence that continually grows

The system can expand continuously as new reports, briefings and intelligence are added.

New material does not require the underlying AI model to be retrained. Once processed and indexed, it can become available to users almost immediately.

This allows Welund.ai to operate across tens of thousands — and ultimately hundreds of thousands — of specialist documents.