Where is FAVORIOT in the IOT Value Chain, one might ask? In the diagram above, we can see that not a single player can offer the whole value chain of IoT. Even the big players, either they chose one (or more) of them or partner or acquire other smaller companies to complete their ecosystem.

As stated in the article “Internet of Things – Business Models” written by Mohit Agrawal – “IoT platform is perhaps the most misunderstood terminology in IoT. There are different kinds of IoT platforms like the connectivity/M2M platform (primarily focused on connecting the devices via telecom networks/SIM cards without much focus on analytics or data processing), Hardware specific IoT platform (these types of platforms are most likely the proprietary platforms developed by device vendors, e.g. Nest) and Pure IoT platforms (platforms that have been specifically developed for IoT keeping the scale, standards and requirements in mind). Not all kinds of platforms would have the ability to lead the IoT effort. The winning combination is a platform that offers device management, cloud based storage, analytics, data visualization and ability to integrate with 3rd party systems via API or SDK to be able to take advantage of legacy systems as well as wide variety of other IoT hardware and software.”

FAVORIOT focuses on certain verticals that the team has the most experience and also right ecosystem partners i.e. smart cities and smart health.

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KUALA LUMPUR (March 24, 2017) – What if you can use a smart fertility tracker using IOT which can take the guess-work out of getting pregnant? This is what interests Favoriot Sdn Bhd, the latest IoT startup in Malaysia to enhance the Smart Health scene in Malaysia.

A team of researchers led by Dr. Farhanahani Mahmud from Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM),  proposed a project called “IoT-based Smart Basal Body Temperature (BBT) monitoring device for Women’s Healthcare.” Favoriot provides an IoT platform and the necessary IoT expertise to assist in delivering the project’s objectives.

However, most of the commercial Basal Body Temperature (BBT) devices cannot directly derive the information needed, where the user need to plot her temperature readings manually into a BBT chart every day, and she also need to interpret the changes in the BBT chart by herself or to set several appointments with a doctor for further consultation.

Therefore, through this research, a development of an Internet of Things (IoT)-based automatic BBT charting and monitoring system with a fuzzy logic computational intelligence method will be done to improve the current practice. This research will eventually help women effectively monitor their menstrual cycle through automatic BBT charting and conveniently share the data with a doctor for their health care consultation via the IoT.

This work could enhance women’s understandings of their own unique menstrual cycle on a deeper level towards a better healthcare and to the best of our knowledge, this will be the first local based product for the automatic BBT charting and monitoring with a smart fertility prediction system.

The collaboration also seeks for more funding to support the development of this project into a commercial system.