Artificial intelligence for non-invasive and predictive health monitoring.
AI glucometer and wearables.

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.


 Non-invasive monitoring replaces traditional check-ups.

Today, artificial intelligence is changing the approach to personal health monitoring. Our non-invasive technology, scientific methods, artificial intelligence are showing impressive results, and measuring 300+ of health parameters. Here are some of them –

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

AI-powered watch for health monitoring and risk assessment.

watch with built-in non-invasive glucometer and tonometer.

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.

Non-invasive glucometer and Health Monitoring in Accofrisk artificial intelligence pocket wearable devices.

300+ HEALTH PARAMETERS

DIGITAL SLEEP

BUILT-IN AI GLUCOMETER

NUTRITION AND DIET

FAMILY HEALTH

ACTIVITY MONITORING

MENTAL HEALTH

FORECASTS, RISKS, ASSISTANCE

LOVED ONES' HEALTH SAFETY

UNDER DEVELOPMENT

AI HEALTHPHONE.

Smartphone with a safe optical pulse wave measurement sensor and non-invasive health monitoring functions for the user.

Non-invasive glucometer and health monitoring in a healthphone with Accofrisk artificial intelligence.

WE ADDED JUST ONE OPTICAL SENSOR

UNDER DEVELOPMENT

ACCO AI pocket devices.

Non-invasive glucometer and Health Monitoring in Accofrisk artificial intelligence pocket wearable devices.

The range offers a wide range of health monitoring functionality and compact size for different usage situations.

watch with built-in non-invasive glucometer and tonometer.

FOR ANY SITUATION

ACCOFRISK AI DISRUPTOR

Remote non-invasive health monitoring powered by AI.

Non-invasive glucometer and Health Monitoring in Accofrisk artificial intelligence pocket wearable devices.

An AI platform integrating ACCO devices for remote non-invasive monitoring of clinic patients or employees in companies that implement health-based management practices.

watch with built-in non-invasive glucometer and tonometer.

PREDICTIVE DIAGNOSTICS

MINIMIZE WORKPLACE RISKS

BOOST TEAM EFFICIENCY

HEALTH-FOCUSED MANAGEMENT

OCCUPATIONAL SAFETY

ACCOFRISK AI GAME-CHANGER

ACCO AI Glucometer.

Non-invasive glucometer and Health Monitoring in Accofrisk artificial intelligence pocket wearable devices.

ACCO AI Glucometer is a non-invasive glucose monitoring technology, based on pulse-wave analysis and artificial intelligence, built into all ACCO devices.

watch with built-in non-invasive glucometer and tonometer.

DIABETES UNDER CONTROL

Around the pulse wave: From theory to artificial intelligence and smart devices

Research results.

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.

Theory and methods.

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.

Artificial Intelligence.

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).

Research and competencies of the team.

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.

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.

Health monitoring.

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.

Healthy Aging & Longevity.

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.

Prevention of diabetes.

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.

Our partners.

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.