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.

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.

Anavision is a new startup company that focuses on A.I. image analytics technologies. We develop world leading A.I. technologies for analyzing images and videos collected from Robots, Drones, Aircrafts and Satellites. Our aim is to free humans from jobs that can be done by a robot.
We differentiate ourselves from othe A.I. analytics companies by utilizing automated devices to collect proprietary A.I. learning datasets for training our A.I. algorithms. For example, we collect plantation image data from Oil Palm, Eucalyptus, Accacia, Cassava fields using drones in Indonesia, Cambodia and China, helping plantation companies to count their crops and analyze the health status of crops. These analytics data can help plantation companies to have better business insights in futures trading and risk management. Pests and disease detection using A.I. detects issues at an early stage, and using less pesticides in crops means less damages done to the Earth. We also use drone image data and Satellite image data to do Land Use analysis, helping governments to plan a better city for the residents.
During Covid-19 pandemic, we developed an A.I. Fever screening system, that helps to reduce the close contact of frontline staff and unknown visitors during temperature measurement.

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.

HealTell, is focus to use mature technology in semiconductor industry, to design, manufacture and build super low cost, micro flow, precise infusion micro-fluidics MEMS pump with self-owned core IP, and apply for Bio-Medical market. We are building the 1st in China and world leading, ultra low cost precise insulin pump patch system, and in the future, it will extend to artificial pancreas, precise drug delivery system, IVF, cell culture and other Bio-Medical applications.

NCDs (Non Communicable Disorders) are the world’s no 1 killer – ie 38 million deaths every year.

Our GOAL is to reduce 25% premature deaths due to NCD’s by 2025

PROBLEM: Most of the current Cardiology screening devices (ECG, ECHO, Angio etc) are hospital-based and 10-100x costelier. However, for > 80% patients the 1st point of contact is at the primary care clinics. Hence, there is a huge MISSED OPPORTUNITY to detect Heart Disorders at the primary care clinics

SOLUTION: AiSteth is a smart stethoscope to screen, detect & predict Heart/Lung disorders using Ai/ML. It has got 3 key components:
i) Device – picks heart/lung sounds and converts them into visual wave patterns
ii) Data – the heart/lung sounds are streamed via bluetooth to a companion smart phone app for visualization + record, store and share capabilities
iii) Intelligence – ML algorithms run on top of the above two layers of device + data

4 SEGMENTS: Adult, Pediatric, Mother & Child, Co-morbidity

AiSteth has Covid indications as below:

1) for use by elderly at home
2) remote monitoring of Heart/Lung sounds for “at high-risk groups” with co morbidity (chronic heart and respiratory conditions)
3) use along tele-health, tele-medicine platforms for remote tracking of vitals

Worldwide, an estimated 3.6 billion diagnostic medical examinations are performed every year and there’s a severe shortage of radiologists who can interpret these scan. This leads to large influx of patients, understaffed radiology departments, and overworked radiologists.

In cognizance of this demand, we are developing a SAAS based artificial intelligence cloud platform that can reduce delays in diagnosis, facilitate earlier detection of diseases and reduce cost to patients.

We have been in the field of AI for the past 2.5 years, our passion, expertise and potential to impact global health experience has been well received and rewarded by esteemed organisations. We have previously reported the utility of using artificial intelligence in the early diagnosis of lung cancer from CT scans, lung abnormalities from chest x-rays and COVID-19 from CT scans and x-rays.

Our AI algorithm for Lung Nodule detection stood first in India in LUNA-16, an International AI hackathon and is currently being clinically validated at Tata Memorial, largest cancer hospital in India. Our work for covid is recognized by the government of India.

Our cloud infrastructure is supported by NVIDIA and Microsoft. Our technology is generic and can be extended to identify diseases from x-rays, CT, MRI, mammography and other modalities.

Swasthya aims to leverage technology to solve the challenge of workplace safety created by the pandemic.
It is a platform for businesses that helps them to
1. Make the employees feel safe
2. Brings back customers by gaining their trust

We do this through AI/ML and computer vision solutions that provide workplace safety ratings as well as key insights/recommendations on:
1. Covid health risk for customers and employees using IoT and voice analytics
2. Social distancing score
3. Mask compliance
4. Visitor location analytics
5. Contactless systems & processes score

Using this insights Swasthya empowers a business by
1. Allowing management to make data-driven decision to reduce risk at workplace
2. Driving revenue by gaining the trust of the customers to use their services

We are a dynamic startup with team members from prestigious universities like Cornell, Carnegie Mellon, IITs and IIMs.