At present, India requires better and affordable health care products for aggressive diseases like cancer. Currently, millions of Indian patients do not have access to right health care products, as they are not available in India. Majority of the hospitals in India still depend on the Western technologies that are not accessible.
With the new Make-in-India initiative introduced by our current Prime Minister, Diagnostring Laboratories believed to be a first Indian company to innovate and develop cancer and genomics based health care and diagnostic products.
PLIMES Inc. is a university spin-off company launched to create a pathway to market for academic research innovations originating from the research achievements at the Artificial Intelligence Laboratory, Center for Cybernics Research and Center for Innovative Medicine and Engineering at the University of Tsukuba, Japan.
PLIMES Inc. is managed by the cofounders Kenji Suzuki, PhD(Eng.), Tomoya Shimokakimoto, PhD(Eng.) and MSc (Med. Sc.), Dushyantha Jayatilake, PhD(Eng.) who each have over 15 years of experience in developing healthcare/robotics technologies and Atsushi Nitasaka (CEO of ZINE), who has experience in launching successful startups and the know-how to reach out using modern media strategies. In addition, we have a comprehensive board of medical advisors to accurately shape the technology to match the need. We are social enablers and PLIMES Inc. focuses on the social problem-solving business by operating to dramatically enhance user experience and social interaction for people with special needs. We spent over 10 years in the academia developing these fundamental technologies that are finally ready to be transferred to the society.
Through independent research and development of equipment, processes and systems, the company can produce high-quality silicon nano-particle products with small particle size, uniform and controllable, high sphericity and purity, nano-material dispersion through silicon powder. And silicon carbon coating technology, can be used in the negative electrode of lithium battery to greatly improve the energy flow density of the lithium battery, that is, greatly improve the endurance of the lithium battery to enhance the mass per unit volume.
Lithium batteries are widely used in mobile phones, computers, electric vehicles and other fields. They have a very broad application prospect. The market capacity is 100 billion. The project aims to improve the application capacity of lithium batteries and greatly enhance the market demand and customer experience. Solve the pain point of lithium battery in the application is not stable enough and endurance is insufficient.
Onward Assist is a machine learning platform focused on oncology, that provides decision assistant tools across the clinical process – including Diagnostics as well as treatment decision assistance. Onward Assist provides Oncology analytics tools that help clinicians be able to look at information of a large volume of patients and come to accurate clinical diagnosis and diagnosis. These analytics tools are built for Histopathologists (Microscopic examination of the Tissue), Radiologists (Medical Imaging such as X-rays) and Oncologists.
The key focus today is in diagnostics assistance in Radiology, and Computational pathology (around Breast càncer and Cervical cancer). Their tools does the work of a radiologist and pathologist respectively, and helps improve productivity by 30-40% (reflected by the reduction in the time taken to complete the reporting of an image, or a slide).
Onward Health is run by CoFounders, Dinesh Koka and Vikas Ramachandra who bring a combined 30+ years of experience in Healthcare, Business Development, Computer Vision, and Deep Tech. Dinesh is a 16+ years Healthcare Industry Exec, having worked with GE Healthcare, and then startups. Vikas Ramachandra (Ph.D) heads Data Science, and brings 10+ years of deep expertise across computer vision, machine learning having worked with Qualcomm and healthcare analytics startups in the US.
33 million people around the world are suffering from irregular heartbeats and expecting to increase 5 million more annually due to aging population. Thailand and many countries globally are become aged society. Irregular heartbeats increases 5x risk of stroke. By 2021, 1 million out of 13.1 million people of aged population are at risk in Thailand. Early detection of irregular heartbeats or Atrial Fibrillation (“AFib”) can save lives. However, an early detection of AFib is limited due to lack of accessible to affordable devices. Hear Diary intends to solve this problem by providing a remote patient monitoring platform together with disposable patch. So, we can solve the affordability of devices as well as reduce cost of care for patients.
Unique features of Heart Diary is FDA approved ECG patch that is thinner and lighter than all FDA approved patches available on the market. This reduce restrictions that imposed by traditional Holter monitoring. Pay-Per-Screening business model allows care provider to focus on providing service and less worry about procuring the devices.
Heart Diary is interested in providing service to Japanese. We aim to collaborate with Japanese care providers to service 72,754 Japanese in Thailand and extend globally.
Modular robotics is one of the most complex areas of robotics. Each added element allows new movements. Normally such robot stays in research labs, in places like MIT and Carnegie Mellon. We invented CellRobot which gives access to such cutting edge technology to non-specialists.
Cellrobot is the first complete consumer modular robotics kit which can be assembled in hundreds of different combinations to perform any task. Traditional Lego liked robots has thousands of building blocks, it’s takes hours for a child to build one robot, it’s really hard for them to create. CellRobot system replace these blocks with one smart and powerful Cell. Bring a perfect platform for children to create.
Plant disease reduces the yield quality and quantity globally. Each year, 20% to 40% of total global crops production is lost because of pest and plant diseases in important crops such as maize, potato, and tomato. According to our survey, the majority of farmers diagnose plant diseases using their own assumption which makes it not accountable and not accurate enough. Technology solution could be the answer to the problem.
We develop Dr. Tania, a chatbot based mobile application that could help farmers to diagnose and manage plant diseases. The user could interact with Dr. Tania using daily language so the user can use the apps easily. The only thing a user needs to do is to take a picture of plant, upload it through Dr. Tania, and she/he will get quick plant disease diagnosis alongside recommended treatments and related products. Powered by Deep Learning, Dr. Tania presents a clear path towards smartphone-assisted crop disease diagnosis on a massive global scale. It could be integrated with satellite imagery, drone, IoT, e-Commerce, etc. Dr. Tania is projected will pass the turnover at the end of 2018 with ROI at 2019 reach 64%. It shows that this business is not just impactful, but also sustainable.
DF Automation & Robotics Sdn Bhd is one of the leading robotic company in South East Asia. DF designs and manufactures Automated Guided Vehicle (AGV). AGV is an industrial mobile robot that can move autonomously from one point to another and very useful to carry heavy loads. This is very useful for manufacturing industries as they can reduce labor reliance and increase efficiency. The mobile robotics market worldwide is USD$8.58bn in 2016 and expect to grow to US$30bn by 2025. DF envisions to be one of the leading player in industry mobile robot. DF has developed many patent pending products including Zalpha AGV, Titan AGV, Suki AGV as well as our in-house developed software, NavWiz. NavWiz is an easy to use software to program the AGVs and with IoT enabled feature. DF has sold to many MNC companies includes Sony, Toto, Yamaha, Produa, Jabil, Sanmina, Flex, among others and has exported to Singapore, Thailand, India, Indonesia, Vietnam, Philipines, Mexico, US and UK.