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Cleareye.ai
Future-proofing trade

What is Cleareye.ai?

Cleareye.ai leverages advanced Artificial Intelligence (AI), including Optical Character Recognition (OCR), Machine Learning (ML), and Natural Language Processing (NLP), to revolutionize trade finance operations. It facilitates the automated classification and extraction of data from unstructured trade documents, aiming to increase productivity and trade velocity for financial institutions.

The platform offers comprehensive compliance solutions, automatically identifying Trade Based Money Laundering (TBML) red flags, validating vessel and Bill of Lading information against sanctioned entities, and enabling efficient sanctions screening. Furthermore, it performs automated document examination based on configurable rules engines aligned with industry standards like UCP, ISBP, URC, and URDG. Cleareye.ai also incorporates Environmental, Social, and Governance (ESG) assessment capabilities for trade transactions and provides a customer portal for corporate clients to manage their trade documents.

Features

  • Digitization: Automated classification and extraction of unstructured data from trade documents using OCR, ML, and NLP.
  • Compliance & TBML Management: Automated identification of TBML red flags, fair price, dual-use & high-risk goods, plus vessel and Bill of Lading validation.
  • Sanctions Screening: Efficient noun extraction and duplicate elimination for integration with enterprise screening systems.
  • Document Examination & Workability Checks: Contextual rules engine (UCP, ISBP, URC, URDG) and automated discrepancy identification.
  • ESG Assessment: Evaluates trade transactions based on buyer, seller, distribution, and use of proceeds from an ESG perspective.
  • Customer Portal: Allows corporate clients to pre-check documents under export LCs and handle Direct Collections.

Use Cases

  • Automating trade document processing for banks.
  • Enhancing trade finance compliance and risk management.
  • Screening trade transactions against sanctions lists.
  • Detecting Trade Based Money Laundering (TBML) activities.
  • Improving operational efficiency in trade finance departments.
  • Assessing the ESG impact of trade transactions.
  • Providing self-service capabilities for corporate clients in trade finance.

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