01
High volumes
Declarations, documents and flows exceed the capacity for exhaustive manual review.
Customs Hub
Data, AI and optimization for customs decision-making.
Better target, better justify and better learn from controls.
The Customs Hub brings together MAATAI-LAB solutions for customs administrations: AI-enabled risk management, selectivity, tariff classification, case reconstruction and decision traceability.
Customs decisionv1.0
01
Targeting
Prioritize declarations and operators that deserve attention.
02
Classification
Support agents in linking product descriptions and tariff nomenclature.
03
Forensic
Reconstruct timelines, decisions and audit trails.
For customs teams
Good targeting must be explainable to the officer who acts on it.
The MAATAI Risk Management suite brings together three separate products: Sentinel for selectivity and targeting, Nomen for multilingual product intelligence, and Forensic for complex case reconstruction.
Customs challenges
The issue is not only to detect risk. It is to make the decision explainable and defensible.
Customs administrations must balance trade facilitation, revenue protection, security, fraud control and service quality.
02
Imperfect data
Vague descriptions, atypical values and documentary inconsistencies must be ranked.
03
Costly controls
Poorly targeted controls slow trade and mobilize scarce resources.
04
Opposable decisions
Each orientation must be linked to facts and explanations.
Solutions
Three complementary solutions for one customs decision chain.
MAATAI Sentinel, MAATAI Nomen and MAATAI Forensic cover three moments of customs work: target, qualify and reconstruct.
Risk Management
MAATAI Sentinel
Risk scores, explainable signals, measurable selectivity and feedback from control results.
Nomenclature
MAATAI Nomen
Multilingual product description analysis and support for tariff classification.
Forensic
MAATAI Forensic
Timelines, actor networks, documents, decisions, overrides and audit trails.
Start with one customs use case.
A focused case is enough to test the value of scoring, classification or reconstruction before scaling up.