Analytics that explain. Models that predict. Solutions that work.
AI in Defence Summit 2026 Prospect, Brussels, 2 february 2026.

Methodological Advantages
The Lab relies on four complementary approaches:

• Semantic Networking: creating causal networks as explanatory models of reality.
• "Swarm of Virtual Experts": applying identical prompts across various LLMs from different roles and positions, followed by statistical generalisation.
• RAG Technologies: integrating LLMs with proprietary search and analytical systems to reduce hallucinations and increase topicality.
• No-Code Prompt Programming: automatically transforming simple queries into structured prompts using logical primitives and formalised reasoning schemes.

The Institute, its Analytical Centre, and the AI Lab are ready for cooperation with state authorities, international organisations, and the private sector, offering solutions that turn complexity into structure and data into informed decisions. Modern Large Language Models (LLMs) have opened a new era of automated analytics, yet they possess fundamental flaws critical to governance and security . such as hallucinations, "laziness," the "black box" effect, and outdated knowledge. The Lab systematically overcomes these limitations by combining LLMs with formalised knowledge and proprietary frameworks. Our goal is to build a manageable, explainable, and responsible intellectual environment. The Institute, its Analytical Centre, and the AI Lab are ready for cooperation with state authorities, international organisations, and the private sector, offering solutions that turn complexity into structure and data into informed decisions.