Sentinel
Selectivity & targeting
Prioritize declarations, explain signals and track control effectiveness.
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MAATAI-LAB · Customs Solutions
Turn customs data into useful, measurable and defensible risk decisions.
MAATAI-LAB helps customs administrations target controls, explain risk scores, classify products and reconstruct complex files.
The promise is straightforward: make operational data understandable and usable by customs teams. AI supports selection; it never replaces customs judgement or the officer’s responsibility.
Augmented customs decision-making
A good risk system must be understood by the teams who use it.
Technology matters only if it helps the analyst, the risk manager, the officer and the decision-maker arbitrate better. MAATAI-LAB focuses on explainable tools, operational feedback loops and measurable results.
Every score must be discussable, every alert justified, every decision traceable.
Solutions
Three separate products covering the customs risk chain.
Sentinel, Nomen and Forensic form the MAATAI Risk Management suite. Each product addresses a specific operational need.
Nomen
Product classification
Analyze multilingual commercial descriptions and produce a defensible classification note.
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Document audit
Reconstruct complex files, reconcile documents and trace discrepancies.
View ForensicMethod
Measure, explain, govern.
MAATAI-LAB does not sell a black box. The goal is a durable risk-management capability: ready data, readable rules, evaluated models, traceable decisions and continuous improvement.
Reliable data
Check quality, completeness, consistency and availability of customs data.
Defensible scores
Turn indicators into ranked, explainable alerts.
Operational feedback
Connect targeting, control, outcome and learning.
Governance
Document limitations, responsibilities, drift and AI usage rules.
Let’s discuss a concrete customs case.
A pilot can start with one precise problem: improve selectivity, test multilingual classification, reconstruct a file or audit a targeting process.