Products

Our cash loan products are one of top 5 Peer to Peer lending product in Indonesia and Philippines, we are focused on unsecured consumer loans offering fast and easy to use cash loan option to users with installment terms ranging from 2-12 months. With more than 15 million registered users, we have disbursed more than $1 Billion in the region.

Our innovative Paylater product for Indonesian market which enables customers to access a line of credit for their day to day transaction needs with a 30 day interest free repayment option. Yinshan Tech as group’s Technology company, enables pay later with integrated payment system, Technical Development, Risk Control and product management. With data driven approach, we are able to service our customers with affordable and easy to use line of credit for their day to day needs.

An AI-driven risk control and anti-fraud system leveraging big data, machine learning scoring, and intelligent decision-making. Our risk control model is built on four key pillars that collectively enhance customer profiling and loan performance: Data Construction, Risk Control, Anti-Fraud, and Competitor Strategy Analysis.
Technology
Natural Language Processing (NLP)


Customer Support and Chatbots
Develops intelligent chatbots and virtual assistants to enhance customer support services.

Fraud Detection and Compliance Monitoring
Analyzes customer conversation transcripts to monitor for potential fraud and issue alerts for compliance violations.

Domain-Specific Language Translation
Provides specialized translation within the financial services sector to facilitate clearer communication and improve user understanding.
Vision & Pattern Recognition


Facial Recognition and Security
Identifies individuals through facial features, offering a secure and convenient method for loan applications.

Liveness Detection
Ensures the scanned face is a live person rather than a photograph, video, or mask.

Optical Character Recognition (OCR)
Enhances OCR accuracy by optimizing algorithms and integrating domain knowledge of document layouts, enabling precise reading of customer information and documents.
Speech Recognition & Understanding


Speech-to-Text (STT)
Converts customer phone calls into accurate text in real-time

Automatic Summarization
Creates concise summaries of business meetings, highlighting key points and decisions.

Emotion Detection
Analyzes emotional tone in customer service calls to assess satisfaction and improve service quality.
Deep Learning


Federated Learning
Trains models on user data without transferring it to centralized servers, preserving privacy.

Automated Model Iteration
Continuously updates and optimizes machine learning models to predict equipment failures and enable proactive maintenance.
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