IN-D PayGen
eMulya Fintech Pte Ltd
Using computer vision, natural language processing and machine learning, IN-D PayGen extracts payment data from paper-based documents/fax, reducing the risk of errors due to rekeying, improved efficiency, reduces operational overheads and creates a seamless customer experience. AI models are trained on multiple document formats, resulting in low implementation time, and the technology can be extended to other use cases such as digitizing KYC documentation, reading paper based financial statements for credit profiling, resulting in superior decision support.
Traditional banks have a high cost of operations and sub-optimal business processes, mostly due to manual operations. It’s important that they control these costs to stay competitive against neobanks that answer the customers new needs and propose a seamless, contextual experience for payment initiations. More than that, digitalization is key when it comes to using digital data for better customer insight that translates to improved customer service.
Improve Customer Experience
IN-D PayGen converts any paper-based payment instruction into digital SWIFT messages with very high accuracy using natural language processing (NLP), resulting in straight through processing. By sending the converted payment directly to GPP verification flow, the application cuts time and error rates, and improves the customer experience by reducing friction in digital journeys that require physical payment documents handling.
Reduce Operational Cost
Converting paper documents to digital payment instructions using AI based NLP with full auditability removes human intervention and manual errors. The app capability to read various document layouts decrease the number of samples required for AI training, thus accelerating time to deployment.
Smarter decision support beyond payments
Make decision systems smarter by generating insights from data in archived documents. The application be extended to several use cases, automating KYC processes by reading ID documents and read back, and financial statements to perform credit analysis and decisioning.
General information
How it works
eKYC
KYC OR Digital Identity Verification Checks during Customer Onboarding: classifying IDs, extracting data then verifying it from government database, cross validation across IDs, face matching and liveliness check, Geo Tagging and OTP Intimation by email. A self-training module is available to allow training of any Govt Issued ID in any country.Contracts
Expedite reading through multipage unstructured Contracts, Agreements, RFPs etc. Bulk document upload and document parsing to identify various logical and structural sections of the document. Read and highlight specific data or relevant sections for ease of management. A query based self-training option is available to train for additional areas of interest.Accounts Payable
Automation for vendor invoices processing: bulk invoice upload (supports multi page invoices), header and line-item data extraction, intuitive validation interface for correcting low confidence extractions, data feed for ERP, RPA, and any other downstream applications.Handwriting Recognition
Data Extraction from handwritten forms: character and word wise Data Extraction from structured handwritten forms, intelligent character recognition (ICR) for digitization of extracted data, named entity recognition (NER) based corrections for improved accuracy (name of Person, City, etc.), check box reader to read gender, Salutation etc., signature image extraction
How it looks
KYC, Insurance Claims Administration, Credit Analysis, Accounts Payable
IN-D Solves all these as Document-to-Data-to-Decision Problems Show lessReview documents
Once the document has been uploaded and processed, you can review it and correct any errors if needed. Show lessOne core engine
IN-D Addresses Key Adoption Challenge by Common Core to Solve Critical Industry Problems Show lessSeamless, zero cost integration
IN-D allows you to control your process design while adding cognitive capabilities Show less
KYC, Insurance Claims Administration, Credit Analysis, Accounts Payable
IN-D Solves all these as Document-to-Data-to-Decision Problems Videos
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