MAATAI-LAB · From the State to territories

Make the right decision, at scale.

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.

Method commitmentsv1.0
01
Evidence-based decisions
Start from data and constraints, not from intuition alone.
02
Explainable AI
Every score, alert or recommendation must be readable.
03
Auditability
Each decision can be traced after the fact.
Designed for working teams

Data matters only when it helps someone make a better decision.

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.

Professional team meeting around a public decision-support dashboard
Clearer decisions for officers, analysts and public-sector leaders.
Our method

One method, five commitments.

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.

01

Evidence-based decision

Use data to clarify the problem, the constraints and the expected impact.

02

Explainable AI

Document the reasons behind scores, suggestions and alerts.

03

Sovereign data

Work within a controlled perimeter and avoid opaque dependencies.

04

Optimization & scoring

Rank priorities under limited resources and operational constraints.

05

Auditability

Keep decisions defensible after the fact.

Two hubs

Two application hubs, one shared discipline.

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.

Customs Hub

Customs Hub

MAATAI Sentinel, MAATAI Nomen and MAATAI Forensic support risk management, targeting, product classification and case reconstruction.

Territory Hub

Territory Hub

VELODIT, ECODIT and FRAÎCHEUR help prioritize cycling investments, school surroundings and urban cooling decisions using data that can be explained and defended.

Services

Services & support

Diagnostics, scoping workshops, training and pilots help organizations move from an idea to an operational decision process.

Our posture

AI supports public decision-making. It does not replace it.

Public decisions carry administrative, legal and political responsibility. MAATAI-LAB equips agents, analysts and decision-makers without claiming to replace their judgment.

Posture 01

Humans stay in control

Scores and recommendations inform the decision; they do not decide on behalf of the administration.

Posture 02

Explainability is a discipline

Every score must come with an explanation understandable by its intended user.

Posture 03

Auditability by design

Data versions, model versions, scores, explanations and human decisions must remain traceable.

Why trust us

An approach built for decisions that must be justified.

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.

01

Public-sector constraints

The solutions are designed for real administrative constraints: imperfect data, limited resources, operational deadlines and the need to justify decisions.

02

Explainable AI, not magic

Every score should be linked to factors that an officer, supervisor or auditor can understand.

03

Optimization under constraints

MAATAI-LAB helps rank priorities when resources are scarce: controls, budgets, investments or analysis time.

04

Auditability by design

Data, versions, rules, scores, human decisions and outcomes are structured as a traceable chain.

A short conversation, with no commitment.

A 30-minute discussion is enough to identify whether a diagnostic, a pilot or a presentation is the right next step.

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