We are developing health-focused artificial intelligence that can measure over 300 health parameters and connect to any of our devices. Get accurate health data, risk assessments for potential diseases, and personalized recommendations to improve your well-being. Connect and understand your health better through our app with a built-in health assistant.
WHOLE BLOOD VISCOSITY (CP)
BLOOD PRESSURE
CARDIAC FUNCTION INDEX (CFI)
GLUCOSE LEVEL
PROTEINS, FATS, CARBOHYDRATES
FIBRINOGEN (FIB)
RESTING METABOLIC RATE (RMR)
INTRACRANIAL PRESSURE (ICP)
CHOLESTEROL AND HEMOGLOBIN
BODY MASS INDEX (BMI)
BLOOD LACTIC ACID (LAC)
URIC ACID (UA)
BLOOD MICROCIRCULATION
CALORIES
ACCOFRISK AI PIONEER

Smartwatches stand out among our other devices because they can track your body's parameters during sleep (Digital Sleep), which is crucial for predicting and assessing health risks.
ACCOFRISK AI DISRUPTOR
An AI platform integrating ACCO devices for remote non-invasive monitoring of clinic patients or employees in companies that implement health-based management practices.
PREDICTIVE DIAGNOSTICS
MINIMIZE WORKPLACE RISKS
BOOST TEAM EFFICIENCY
HEALTH-FOCUSED MANAGEMENT
OCCUPATIONAL SAFETY
ACCOFRISK AI GAME-CHANGER
ACCO AI Glucometer is a non-invasive glucose monitoring technology, based on pulse-wave analysis and artificial intelligence, built into all ACCO devices.
The result of our theoretical approaches and research has been 1,000,000 users of AI watches and a product line currently in development — including pocket devices and a smartphone with built-in health monitoring capabilities.
Each device is equipped with an optical sensor that reads pulse wave signals and transmits them to an AI-powered cloud. The accuracy and reliability of various data have been validated through preclinical and clinical studies conducted in multiple countries.
Our products and solutions are based theoretically on the rheology and biomechanics of blood pressure.
We have developed a technology for spectral detection of thermal metabolism by collecting signals from the volumetric pulse wave and thermal metabolism on the user’s hand. All data from the optical sensor are processed by several of our proprietary artificial intelligence systems.
We measure blood glucose with precision down to hundredths of a unit.
We have combined big data analysis with precise artificial intelligence modeling (neural networks) to create a personalized self-recovery interval and correct deviations for monitoring blood flow and circulation.
Our artificial intelligence not only measures physical and mental health data but also predicts health indicators and assesses the risk of developing various conditions (predictive or preclinical diagnostics).
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.
Our competences in the field of AI lie in the development of new methods for measuring the parameters of body systems. Improving the quality of these measurements is the main priority of this work.
We measure more than 100 groups of body system parameters. In our nearest plans we are going to create and introduce a method of obtaining the parameters of the general blood analysis without blood sampling.
Our team is involved in the formation of standards for healthy ageing through the creation of smart health monitoring methods. We implement the concept of involving loved ones in monitoring users' health.
Based on continuous measurement of glucose levels and comprehensive data. Our solutions will instantly alert the user to the first signs of diabetes. Soon we will learn how to diagnose diabetes in children.
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