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.
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.
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.
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."
ACCOFRISK FOUNDER, Dr.OLEG TIKHONENKO.
17
YEARS OF WORK
10
PATENTS
5
PARTNERS
5
COUNTRIES OF WORK
RESULTS OF RESEARCH
THEORETICAL FRAMEWORK
ARTIFICIAL INTELLIGENCE
Our products and solutions utilize the rheology and biomechanics of blood pressure as the theoretical basis.
We have developed a spectral thermal metabolism detection technology by collecting the bulk pulse wave signal and the thermal metabolism signal on the user's hand. All data from the optical sensor is processed by several proprietary artificial intelligence systems.
We combined big data analytics with accurate artificial intelligence modelling to generate personalised self-healing interval and abnormality correction to control blood flow and blood supply.
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.
21 top AI (Artificial Intelligence) Companies and Startups in Abu Dhabi in 2024.
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