NTEX

R&D

Home / R&D

With the orientation to become a successful company of smart technology device solutions, we set up an R&D department to continuously upgrade and develop new product ideas. We aim for highly practical product ideas with access to advanced technologies of AIoT/Edge AI.

Flight bike are a combination of bicycle and treadmill. This R&D product is developed based on RPA Technology.


In Vietnam, the need for jogging or cycling to improve health is increasing. Besides, busy life sometimes makes it difficult for many people to arrange time to jog or cycle. Therefore, the idea of flying bicycles was born so that users can combine exercise while traveling.

Flight bike are a combination of bicycle and treadmill. This R&D product is developed based on RPA Technology.

• The maximum speed of it is up to 35 km/h and is modified based on the user’s footfalls.
• The range of the vehicle is 40 to 50 kilometers per charge
• Users can also disable the training mode and ride the electric bike normally by switching to basic mode.

Flight Bike has been tested in Vietnam since 2019 and introduced at the Hannover Messe exhibition in April 2023.

R&D team

The goal of our AIoT platform is to help businesses implement AIoT-based products faster. The platform will be optimized for high performance, power efficient AIoT system.


IoT devices are only as good as the data they provide. To be useful for decision-making, the data needs to be collected, stored, processed, and analyzed.
This creates a challenge for organizations.

As IoT adoption increases, businesses are struggling to process the data efficiently and use it for real-world decision-making and insights. An AIoT platform can use Artificial Intelligence (AI) to be a necessity for the Internet of Things (IoT) to be able to utilize the cloud to scale data proportionately.

Currently, we have been implementing research and application of Edge AI into IoT systems that have been deployed in previous PoC versions such as iCheckin camera, Control & Monitoring Machine System. With the integration of AI and IoT to exploit the advantages of AIoT, we move towards researching and developing an AIoT platform that in addition to utilizing the cloud to scale data proportionately, its aim is also to maximize the potential of the hardware where it is operating on.

R&D team