intech Startups in Singapore-profiles


Fintech Startups in Singapore pl6

About Us

We help businesses grow by enabling smart, AI-powered decision-making. 6Estates is a Singapore AI FinTech company spun-off from National University of Singapore and Tsinghua University in China, focusing on business-level complex document understanding and domain-specific knowledge graph construction. We specialize in Multilingual Natural Language Processing (NLP), Knowledge Graph (KG) and Machine Reading Comprehension (MRC) technologies.

By providing AI-powered Intelligent Document Processing solutions, we can help financial institutions process unstructured financial documents to automate operational processes to increase efficiency and productivity, as well as accumulate invaluable knowledge. Our AI solutions have been applied in various regional leading banks for trade finance and credit assessment.

Trade finance is a very document and human intensive process. Especially, processing Letter of Credit (LC) in banks are 100% manual. LC supporting documents usually comprises of multiple unstructured documents like MT700, Bill of lading, invoices, Bill of Exchange, etc. All these documents are in different layout and format. LC also involves many international trade rules and standards like UCP and ISBP to be checked and verified which today requires many human checkers with strong domain knowledge. Therefore today banks need to put

multiple human checkers to process each letter of credit case to avoid human errors. Each human check takes at least 40 mins to process one case. Therefore it is very time-consuming and repetitive.


Automate Manual Document & Compliance Check in Letter of Credit (LC) Process

Powered by 6Estates’ state-of-the-art Machine Reading Comprehension (MRC) and Optical Character Recognition (OCR) technologies as well as domain knowledge of UCP & ISBP banking rules, LC Automize is an AI engine which is able to read LC documents, understand them, extract key information and conduct the rules check automatically. It can greatly reduce the dependency of human LC document checkers to conduct first-level document checks and reduce turnaround processing time to enable the bank to scale up its trade finance operations exponentially.


  • Digitalization: Convert LC supporting documents into digital format through OCR technology. Check and auto-correct the converted text using NLP technology.

  • Information Extraction: Extract key information from various documents using MRC technology and convert it to structured data.

  • Compliance Check: Construct knowledge base and rules engine in trade finance and automatically conduct compliance checks in accordance to international trade standards.

  • Incremental Machine Learning: Collect user behavior for incremental machine learning so as to improve the accuracy of the AI model.


Improve Productivity and Efficiency by at least 50%

1. Reduce human Dependency on mundane tasks

2. Scale up trade finance operations exponentially

3. Cut down on operational and compliance risk

4. Accumulate trade rules and domain knowledge

*This interview is covered by Swiftnlift Business Magazine

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