Why Our AI Services Stand Out
Accuracy
99% accuracy in document and identity verification
Speed
Reduce processing times by up to 80%
Security
Enterprise-grade security ensures your data remains protected
Scalability
Flexible solutions for businesses of any size
Our Projects
Extract identity document information (eKyc)
Challenges
- Collect data from identification documents to aid in the account registration procedure through the App.
- Scrutinize for potential signs of photo manipulation, such as deletion or modification of data. Various types of identification documents are accepted, including ID cards, CCCD, passports, etc.
- These documents may have different capture conditions.
Solution
- Develop an Optical Character Recognition (OCR) model designed to extract customer information.
90%
OCR Accuracy rate.
100%
integration with current workflow.
1.5 seconds
The average optimal processing time
5000+
records processed per day
Our Projects
Photo appraisal warehouse project
Challenges
- Verifying the authenticity of registration document photos for projects to detect potential fraud (e.g., fake information, reused documents).
- Managing a high volume of documents of various types.
Solution
- Utilizing AI technologies to model and digitize evaluated photos and documents.
- Establishing a system capable of storing and searching large-sized images.
- Developing an interface to assist users in leveraging digital documents effectively
Our Projects
Document information extraction project
Business Task
Bank documents invariably contain crucial details like transaction numbers, account numbers, and total amounts. When assessing floor documents, it’s imperative to verify if this information aligns with the data in the system.
Challenges
- Metallic letters or red stamps overlapping the fields intended for extraction
- Images being tilted upon scanning, poor quality photos or faint metallic print
- Unusual or disturbed backgrounds
- Faint handprints overlapping other text
Solution
Utilize and synchronize AI-OCR models to extract information from floor documents. Develop an interface system to facilitate users in the extraction of information.
|
Type of document |
Receipt |
deposit slip |
Payment Order |
Saving card mt |
Saving card ms |
Check |
|
Printed |
93.0% |
97.05% |
98.0% |
94.44% |
100.0% |
– |
|
Hand-written doc |
77.85% |
85.27% |
98.0% |
– |
– |
73.11% |
Our Projects
Customer Service Quality Evaluation
Business Task
Assess the quality of customer care calls conducted by CS agents.
Challenges
- The project involves working with audio files recorded from calls, encompassing a large volume of recordings from various customers.
- Challenges include language barriers such as lisping, dialects, etc., as well as the specificity of the conversation content.
Solution
- Develop a model to extract conversation content character by character and differentiate between customers and agents.
- Establish call evaluation criteria based on the extracted information.
- Create a web interface and dashboard for monitoring call quality and agent support performance.