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 specialise 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.
6Estates One-stop Intelligent Document Processing (IDP) Platform
6Estates is a regional Document AI solution provider, spun-off from a joint AI research center by National University of Singapore and Tsinghua University. 6Estates specializes in Multilingual Natural Language Processing (NLP) & Machine Reading Comprehension (MRC) technologies to help customers process complex and unstructured documents and to digitalise manual processes.
Unlike traditional OCR, 6Estates’ Intelligent Document Processing (IDP) platform delivers next-generation template-free data extraction technology that can capture information from structured, semi-structured, and unstructured documents such as photos, PDF, scanned documents and even ZIP files. In addition to template-free information extraction, IDP is capable of semantic correlation analysis.
In addition, 6Estates has developed an integrated Human-in-the-Loop (HITL) capability to enable seamless human validation of data extracted by the AI engine. The AI + HITL approach ensures close to 100% accuracy results, enabling customers to use outputted data directly in business decision-making and contributing to constant improvement of the AI extraction engine.
How does it work?
6Estates’ Intelligent Document Processing process takes place in a few simple steps:
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