Enhanced decision-support for real battlefield advantage
Operational superiority driven by the quality, speed, and consistency of military decision-making.
Operational superiority driven by the quality, speed, and consistency of military decision-making.
Large-scale conventional warfare has re-emerged as a defining feature of modern security environments. Recent conflicts and multinational exercises have demonstrated that, in near-peer engagements — where opposing forces are broadly comparable in capability and scale — marginal advantages in equipment or force size rarely determine outcomes. What consistently drives operational superiority is the quality, speed, and consistency of military decision-making.
In this context, leadership effectiveness depends on two pillars: battle management and planning. While battle management remains a human-centric, commander-led activity, its success is fundamentally constrained by the quality and timelines of the underlying plans. When planning outputs are delayed, incomplete, or analytically inconsistent, units lose initiative — often with decisive consequences.
The challenge lies in the planning process itself. At the tactical-operational level across NATO, the Military Decision-Making Process (MDMP) is the standard framework for receiving orders, conducting analysis, developing courses of action,creating plans and issuing orders. Although MDMP is proven and widely institutionalized, it is slow, resource-intensive, and dependent on large numbers of highly trained staff specialists. The Russo-Ukrainian War and recent large-scale exercises have highlighted a critical constraint: in wartime, both time and experienced staff capacity are in the shortest supply.
BrigAIde is designed to address this bottleneck. Our AI-enabled decision-support framework accelerates the analytic components of MDMP — the labor-intensive synthesis of doctrine, data, and operational context — delivering faster, more rigorous planning outputs while preserving command authority and accountability. By automating cognitive workload rather than judgment, BrigAIde enables staff to focus on evaluation, adaptation, and mission execution, creating a measurable decision-cycle advantage in near-peer operational environments.
Our vision is to evolve BrigAIde into an end-to-end decision-support environment that accelerates every key analytical step of the military planning process. By augmenting staff work with AI-driven automation and validated operational insights, our goal is to reduce planning time by up to 50% while increasing the precision and consistency of planning outputs — directly improving decision quality in time-critical, near-peer conflict environments.
We have already taken meaningful steps toward this vision. We developed and rigorously tested a TRL-4 demonstrator of BrigAIde and successfully presented it to the Chief of the General Staff of a NATO member state, who subsequently issued a formal Letter of Support. This early traction validates both the operational relevance of our approach and the demand for AI-enabled decision-support capabilities at the highest levels of defense leadership.
Tamás is a visionary leader with over 8 years of experience in strategic management and more than 20 years in full-stack software architecture. Currently a PhD candidate, his research focuses on advanced military training methodologies and the integration of digital twins in defense systems. He combines deep technical expertise with a strategic mindset to lead the development of BrigAIde’s core technology.
Róbert brings over 20 years of experience from the telecommunications sector, specializing in mission-critical, high-availability infrastructure. With a background in managing large-scale projects with zero-fault tolerance, he ensures that BrigAIde’s solutions are robust, scalable, and meet the rigorous reliability standards required by military organizations.
Simon is an expert in frontier AI technologies, specifically Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). His experience includes developing VR-based training environments and high-complexity software systems. He is responsible for translating the intricacies of military logic into executable AI algorithms, ensuring the system’s outputs are both tactically sound and technically cutting-edge.
Márk is a former mechanized infantry officer with 15 years of operational and leadership experience. He served as platoon leader, company commander, and S3 officer, gaining firsthand exposure to high-stakes decision environments through combat operations and peace-support missions. He spent five years as an assistant professor teaching infantry tactics and MDMP. He defended his PhD dissertation Summa cum Laude in 2025, focusing on tactical land operations. Márk ensures that our AI solutions are perfectly aligned with real-world military workflows and battlefield realities.