Case Study: VietnamWorks
Case Study


Empowering companies big and small


VietnamWorks is a significant player in the online job board industry of Vietnam. It serves as a platform connecting job seekers with potential employers and offers various features to facilitate this process, including job search, job application, resume creation, and career advice.


The platform provides an extensive database of job postings in multiple industries, enabling job seekers to find employment opportunities that match their qualifications and interests.


Navigos Group, the parent company of VietnamWorks, is a leading recruitment service provider in Vietnam. Its mission is to empower job seekers and recruiters in Vietnam to succeed by offering comprehensive recruitment solutions. 

Case Study: VietnamWorks


In the past, VietnamWorks utilized third-party services for manual data processing and parsing, in addition to relying on tools such as Microsoft Excel and Google Sheets for data annotation and labeling. However, this approach was labor-intensive and time-consuming, prompting them to seek a more effective and efficient method of parsing and categorizing data from CV files.


VietnamWorks aimed to enhance their database, improve their search engine, and strengthen their machine learning models for recommendations and data processing. Consequently, they needed to implement a more streamlined solution for parsing and categorizing data from CV files.


VietnamWorks opted for UBIAI tools due to its user-friendly platform and affordable subscription fees compared to other data-training platforms. Their primary requirement was a data labeling solution for entity recognition, which UBIAI specialized in providing.


By implementing UBIAI, VietnamWorks could increase the speed of their data labeling process tenfold and develop a significantly more advanced machine learning model than they could with third-party services.


The product manager at VietnamWorks noted that the straightforward UBIAI interface and collaboration features were the most useful benefits. Additionally, people with limited technical expertise learned how to use the data annotation feature in under an hour.

Case Study: VietnamWorks

After Using UBIAI:

Following the integration of UBIAI tools into their workflow, VietnamWorks aims to save a minimum of $25,000 per year by substituting third-party services with their in-house model. Additionally, they anticipate opening their platform to various new machine learning applications.


According to the product manager at VietnamWorks, UBIAI is a tool they would recommend to colleagues and partners when developing machine learning solutions.

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If you’re looking for a tagging platform on NLP projects, UBIAI probably has all the features you need. lt supports many document types and multiple OCR engines. It’s super simple and powerful.

Ihsan S.

Machine Learning Engineer

It is very easy to work with. A couple of things that draw me to UBIAI are that it could accept data in a LOT of formats (even including PDFs!).

Jetson W.

Data Architect

I love this product as this provides amazing support for document classification and named entity recognition. The NLP tasks UI is very intuitively embedded into this product and it is really easy to use.

Jasmeet K.

Data Scientist