
MOH PRS: Automating Nurse Application Processing
MOH’s Professional Registration System (PRS) has integrated READ to automate the processing, extraction, and verification of highly sensitive documents for nurse applications. The system handles five specialised multi-page documents with high accuracy and security.
ICA: Entity Extraction for Marriage Certificates
ICA partnered with READ to successfully test entity extraction from marriage certificates submitted as part of SC/PR/LTVP applications, enhancing automation and reducing manual checks.
PUB: Automating Information Extraction from Physical Mails
PUB conducted a POC with READ to automate data extraction from physical mails and thereafter generate email reply templates, replacing the OCR capability of its existing commercial solution.
DSTA: On-Premise MVP for Sensitive Documents
DSTA is working with READ to develop an on-premise MVP across three distinct use cases. The collaboration focuses on processing highly sensitive documents, including receipts and travel itineraries.
MOM WINS: Evaluating for EP/WP Application Automation
MOM's WINS team is currently evaluating READ for integration into its Employment Pass and Work Permit (EP/WP) application system, aiming to improve document automation and streamline processing.
Thanks for letting us know that this page is useful for you!
If you've got a moment, please tell us what we did right so that we can do more of it.
Did this page help you? - No
Thanks for letting us know that this page still needs work to be done.
If you've got a moment, please tell us how we can make this page better.

An AI-Powered Solution That Streamlines Document Automation for Faster, More Accurate Workflows