About Accofrisk Company.
Accofrisk was founded in 2008 by Dr.Oleg Tikhonenko. The startup began its development with a clear idea to simplify the lives of people with diabetes, and now the work of our team and the company's movement forward is based on research into innovative methods of measuring human health indicators and the development of devices based on these methods.
Disruptive innovations.
The company's flagship product is a smartwatch for non-invasive monitoring of major body systems, and the company plans to develop aline of devices and solutions in the areas of health monitoring,diabetes prevention, healthy aging and mass measurement.
Artificial Intelligence and Growth.
The core of our products is ARIA artificial intelligence based on aneural network trained on health monitoring data from over 2,5 million people.
The company operates in the global market through representative offices and a network of partners. To this point, about 700,000 devices have been sold in China.
Offer for investors.
Today, our company is at the forefront of innovation in non-invasive health monitoring and artificial intelligence for medicine. Tomorrow, continuous diagnostics will be the standard of living and available to everyone.
The company raises venture capital to accelerate the development of the company's products and multiple scaling of the business.
We invite business angels and venture capital funds to discuss investing in our team and becoming part of it.
"Our team is committed to creating a Health Autopilot for the user, where data and AI will tell you about abnormalities before symptoms of disease appear, and the diagnosis will be made at the first visit to the doctor without additional tests."
Ian Tycho, Head of AI Development, Accofrisk
Research areas and team expertise in non-invasive technologies and AI.
Accofrisk works at the intersection of medicine, big data and artificial intelligence. The company's theoretical research and technologies are focused on predictive analytics, and creating products for continuous monitoring of the user's health.
Artificial intelligence and non-invasive technologies.
Our competences in the field of AI lie in the development of innovative new methods for accurately measuring the parameters of body systems. Improving the quality and reliability of these measurements is the main priority of this work.
Healthy Aging & Longevity through innovation.
Our team is involved in the formation of standards for healthy ageing through the creation of smart health monitoring methods and data-driven insights. We implement the concept of involving loved ones in monitoring users’ health for better long-term outcomes.
Health data collection and health forecasting.
We measure more than 300+ body system parameters. In our nearest plans, we are going to create and introduce a revolutionary method of obtaining the parameters of a general blood analysis without any blood sampling.
Diabetes prevention with an AI-powered glucose monitor.
It is based on artificial intelligence and continuous blood glucose monitoring, as well as the measurement of parameters associated with the development of all types of diabetes. The assistant provides an optimal diet and personalized lifestyle recommendations.
We are included in reviews and rankings.
21 top AI (Artificial Intelligence) Companies and Startups in Abu Dhabi in 2024.
Medical Devices startups in United Arab Emirates. List
Engagement in the scientific community.
International University Scientific Forum. UAE - RUSSIA - INDIA.
Electronic Research Conference. International Scientific Solutions 2022.
February 9, 2022. Ney York.
Interuniversity Scientific Congress "Higher School: Scientific Research".
January 9, 2023. Moscow.
ACCOFRISK LIMITED, Hong Kong.
19H, Maxgrand Plaza
No. 3 Tai Yau Street
San Po Kong
Hong Kong
hi@accofrisk.com
ACCOFRISK LIMITED, Aylesbury.
223 Aylesbury Road, Bierton, Aylesbury HP22 5DS, United Kingdom
Companies House 01920683
hi@accofrisk.com
Keep reading our blog
© 2026. All rights reserved.
COOKIE USE
By using our website, you consent to the processing of cookies and user data. If you do not want your data to be processed, please leave the site.