Evidence-based decision
Use data to clarify the problem, the constraints and the expected impact.
Public decision intelligence through data, AI and optimization.
MAATAI-LAB helps administrations, local authorities and public organizations turn dispersed data into traceable, explainable and actionable decisions. The same method is applied to two domains: customs decision-making and territorial investment choices.
MAATAI-LAB designs products for the people who must act: officers, analysts, domain leaders, elected officials and technical teams. The goal is not to automate their judgment, but to give them clearer evidence.
Whether the subject is customs selectivity, cycling investment, school-surroundings prioritization or urban cooling, the same commitments apply: objectivity, explainability, data sovereignty, optimization under constraints and auditability.
Use data to clarify the problem, the constraints and the expected impact.
Document the reasons behind scores, suggestions and alerts.
Work within a controlled perimeter and avoid opaque dependencies.
Rank priorities under limited resources and operational constraints.
Keep decisions defensible after the fact.
MAATAI-LAB is organized around two hubs: Customs Hub for customs administrations, and Territory Hub for local public decision-making: cycling investment, school surroundings, urban cooling and territorial diagnostics.
MAATAI Sentinel, MAATAI Nomen and MAATAI Forensic support risk management, targeting, product classification and case reconstruction.
VELODIT, ECODIT and FRAÎCHEUR help prioritize cycling investments, school surroundings and urban cooling decisions using data that can be explained and defended.
Diagnostics, scoping workshops, training and pilots help organizations move from an idea to an operational decision process.
Public decisions carry administrative, legal and political responsibility. MAATAI-LAB equips agents, analysts and decision-makers without claiming to replace their judgment.
Scores and recommendations inform the decision; they do not decide on behalf of the administration.
Every score must come with an explanation understandable by its intended user.
Data versions, model versions, scores, explanations and human decisions must remain traceable.
MAATAI-LAB does not sell a black box. We combine domain expertise, explainable AI, optimization and traceability for public-sector contexts where decisions must remain human, documented and defensible.
The solutions are designed for real administrative constraints: imperfect data, limited resources, operational deadlines and the need to justify decisions.
Every score should be linked to factors that an officer, supervisor or auditor can understand.
MAATAI-LAB helps rank priorities when resources are scarce: controls, budgets, investments or analysis time.
Data, versions, rules, scores, human decisions and outcomes are structured as a traceable chain.
A 30-minute discussion is enough to identify whether a diagnostic, a pilot or a presentation is the right next step.