Posts in PARTNER

Promosys Technology and FAVORIOT Collaborate to Create More Malaysian-Made IOT Products and Solutions

April 1st, 2017 Posted by PARTNER 0 thoughts on “Promosys Technology and FAVORIOT Collaborate to Create More Malaysian-Made IOT Products and Solutions”
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IoT Ecosystem in Malaysia is Growing

Kuala Lumpur (April 1, 2017) – To promote locally Malaysian-made IoT products, Promosys Technology Sdn Bhd and FAVORIOT Sdn Bhd agreed to collaborate in developing customized IoT solutions according to customers’ needs.

Promosys can help to design the right device, selecting suitable connectivity and developing intelligent applications exclusively for the target market, under their own branding and using FAVORIOT’s platform in managing the IoT devices.

17457975_10155086551963396_3773206468364438955_n.jpgAs a newly Startup in Malaysia, FAVORIOT has an ambitious mission to help people and organizations to be well-connected with their most valuable assets – health and the environment they work and live in.

“With this collaboration, other than developing customized IoT applications, we wanted to prove that Malaysian-made IoT products have the same or better quality than overseas products. Who said we can’t be a global player too?”, said Dr. Mazlan Abbas, CEO of FAVORIOT.

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“These type of local collaboration is critically needed, there is much opportunity for local SME, community and at large the nation can truly benefit from the Internet of Thing evolution, we need to move out from the ideology that locals are not good enough for advanced technology and win-win partnership not possible. Many local companies are capable of delivering superior product, solution, and eco-system”, said Mr.Pathma, CEO of Promosys Technology.

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Currently, Promosys have developed several products both for local and international clients such as HawkEye Clod Monitoring, Early Warning System – EWS, Nurse Call System (NCS), Automatic Vehicle Locating System, Rodent Monitoring System, Remote Patient Monitoring System – Jane, Continuous Monitoring Emission System (CEMS), Non-Revenue River Monitoring and Solar PV Monitoring Solution.

FAVORIOT offers an IOT platform specifically designed for any Internet of Things (IoT) projects. The platform is developed to support the integration of data from sensors and actuators on the Internet. Collecting and storing data from IOT devices become much easier. Moreover, the platform also helps developers in building vertical applications without worry about the hosting.

The year 2017 will bring new and exciting IoT ventures as the whole IoT ecosystem in Malaysia beginning to grow and mature. The collaboration between Promosys and FAVORIOT proves that end-to-end IoT solution can’t be delivered by a single company alone.

For more details, contact: info@favoriot.com | info@mypromosys.com

CyGen Group and FAVORIOT Collaborate in Making Sense of Our Health Data

March 27th, 2017 Posted by PARTNER, SMART HEALTH 0 thoughts on “CyGen Group and FAVORIOT Collaborate in Making Sense of Our Health Data”

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Kuala Lumpur  (27 March 2017)CyGen Group (M) Sdn Bhd and FAVORIOT Sdn Bhd today announced their collaboration in making sense of health data by integrating CyGen’s big data analytics health platform with FAVORIOT’s IOT platform.

The partnership will allow health-related data that is aggregated from various sensors to be analyzed by health specialists. This enables innovative health hardware manufacturers and service providers to provide their customers with data-driven, value-added services such as analytics and health trends reports, making it easy to acquire and provide decision making.

No longer people wait for problems but they believe in predicting what is about to come. And to help such individuals, CyGen Group has come up with smart prediction tools which can ensure that individuals can beat the illness before they turn to some drastic disease. The tool is a result of advanced technology and statistical methods that can analyze massive information in one go and predict the outcomes for the patient. Not only can the tool predict the results but also can associate data to provide the patient some preventive measures.

FAVORIOT provides an easy, flexible and scalable way to send the right health information to the right people using the right communications channel that does not limit to email or SMS but to more than 20 messaging channels at the right time.

 

This partnership will open up many opportunities and also help the Universities to access the necessary tools and skills in the healthcare industry” – Dr. Mazlan Abbas, Co-Founder of FAVORIOT.

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Best in work in Malaysia, we are embracing change with formidable partnership” – Sumita Palanisamy, COO, and Co-Founder of CyGen Group.
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Collaboration Between UTHM and FAVORIOT – The IOT of Making Babies

March 24th, 2017 Posted by BLOG, PARTNER 0 thoughts on “Collaboration Between UTHM and FAVORIOT – The IOT of Making Babies”

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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.

 

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