Reliable data. Faster decisions. Better execution.






eaQbe is a Brussels-based consultancy specialising in artificial intelligence, founded in 2020. We help organisations across Belgium and the EU build reliable data foundations, then turn them into operational systems: BI solutions that guide decisions, machine learning models built for specific tasks, and agentic AI workflows that automate complex operations. Alongside consulting & solutions, eaQbe delivers hands-on, scenario-based training in AI and data. Everything we deliver is built on one principle: operational autonomy.
Three levers to turn data into operational results
A structured consulting approach grounded in CRISP-DM and delivered through Scrum
We start by structuring the project at business level: stakeholder alignment, governance setup, and qualitative interviews across departments. Through steering committees and structured discussions, we clarify objectives, success criteria, constraints, and interdependencies. In parallel, we assess available data sources to ground decisions in operational reality.
We translate business objectives into data pipelines and models. This phase covers features engineering, and iterative modeling, with frequent validation points. Working in short cycles, we test assumptions, refine configurations, and ensure models remain explainable, robust, and aligned with business intent.
We evaluate results against the initial business objectives. Once validated, we deploy solutions into existing systems, support user adoption, and document outcomes. This phase closes the loop with stakeholders and sets the foundation for continuous improvement.
Built on a deep commitment to data science and technology, we are driven by a bold vision: making data science accessible, actionable, and transformative for businesses of all sizes.
We bring engineering-level rigor to business constraints, turning complex data into reliable systems.
We continuously explore new methods, architectures, and workflows to better align technology with business realities.
We design our work to build autonomy, by breaking complexity down, transferring knowledge, and enabling teams to operate, adapt, and improve over time.
We design and integrate the right components to build reliable, maintainable data systems within your existing environment.
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