Artificial Intelligence (AI)-powered health monitoring platform – remote, non-invasive assessment and digital health twins.
Accofrisk AI Health - creates digital twins, assesses physical and mental conditions, provides personalized health recommendations, prevents burnout. The AI monitors 300+ metrics, including brain, heart, lungs, liver, sleep, and emotional health. It integrates with corporate and medical systems, supports telemedicine, IoB, and generates actionable reports to enhance well-being and productivity. Bring real telemedicine into your clinical practice and corporate wellness programs today.
Employee digital twin — our vision of the future.
We are talking about the vision of the future, but we don’t know everything yet. We cannot assert that if 100% of employees create their digital twins, the company’s value will increase by 1.5 times — but there is plenty of potential for such growth.
PARTNERSHIP IN HEALTH
We see employee health as a true partnership: the company creates conditions to maintain well-being, and employees receive timely insights and guidance to stay safe, productive, and energized.
HEALTH-AWARE MANAGEMENT
We make management decisions more informed: task allocation, shift planning, schedules, and breaks are now guided by the real-time condition of employees, improving efficiency and adaptability.
HEALTH — A COMPANY ASSET
With digital health monitoring, physical and mental states become actionable. Companies can measure and manage resilience, productivity, planning, and risk, turning health data into strategic insights that guide every decision.
AI PLATFORM FEATURES
Digital health profile of an employee or patient.
CONNECTION
Unlimited employee access to the web interface.
Up to 20 users connected to the manager’s tablet.
PROFILE DATA STRUCTURE
Employee full name
Phone number
Reminder content
Measurement time
Comments
History and reports
Health status information is stored in the user’s Digital Health Profile. The main screen of the platform displays summary reports and charts across different health monitoring categories. The charts show the percentage ratio of healthy employees and employees whose health parameters are outside the normal range. For all health metric measurements, the system creates and stores a user’s Digital Health Twin.
AI PLATFORM FEATURES
Monitoring of body systems and assessment of user health metrics.
Artificial intelligence measures 300+ parameters of users’ physical and mental health, assesses disease risks, and provides recommendations to improve well-being.
Brain function assessment
Cardiac function assessment
Lung function assessment
Kidney function assessment
Liver function assessment
Sleep monitoring analysis
Physical fatigue data
Emotional monitoring
Results of using the remote health monitoring platform.
AI-powered AkkoFrisk smartwatches serve as terminal devices connecting users to the platform.
GROUPS.
Health parameter alerts for connected users are divided into four risk groups:
Abnormality Reminders
Risk Alerts for Employees
Parameters Within Normal Range
High-Risk Alerts (SOS Alerts)
RESULTS OF USING THE PLATFORM.
Rapid response to patient conditions
Reduced health risks in the workplace
Improved workplace safety
Prevention of employee burnout
Remote medical check-ups
Automated decisions on fitness for duty
Health-informed team management
Employee health prevention
Employee care and well-being
What physical and mental health metrics does the Accofrisk AI platform assess?.
GLUCOMETER
BLOOD
HEART
LUNGS
LIVER
RENAL
BRAIN
NUTRION
ACTIVITY
STRESS
EMOTIONS
SLEEP
MEDICINES
TONOMETER
RISKS
DIABETES UNDER CONTROL
BLOOD SUGAR INDICATORS
NON-INVASIVE AI GLUCOMETER.
The watch features a blood glucose monitoring function that works in both automatic and manual measurement modes.
For diabetic patients, the watch helps them respond quickly to acute complications and take timely action to reduce risks. For others, these measurements support diabetes prevention by monitoring average blood sugar levels
Fructosamine or glycated albumin
Hypoglycemia related indicators
Min. measurement interval: 5 min
Automatic or manual monitoring mode
Glycated haemoglobin (HbA1c)
Parameters related to diabetes
Accuracy to 0.01
Customisable measurement intervals
HYPOGLYCEMIA RELATED INDICATORS.
Fibrinogen
Serum creatinine
Systolic pressure
Heart rate
Whole blood viscosity
Myocardial oxygen consumption
BLOOD SUGAR INDICATORS.
Oxygen consumption
Cerebral blood flow (CBF)
Insulin resistance index (HOMA-IR)
Pulmonary vascular resistance (PVR)
Entropy of respiration
Arterial partial oxygen (PaO₂)
Arterial oxygen saturation (SaO₂)
COMPLETE DIABETES CONTROL THROUGH OTHER PARAMETERS WITH AССO AI.
Blood viscosity and fibrinogen are important because diabetes increases the risk of thrombosis and vascular complications.
Insulin resistance (HOMA-IR) and β-cell function (HOMA-B) provide insight into the progression of diabetes.
Microcirculation – impaired blood flow in the small vessels is often observed in diabetes and can lead to complications, such as diabetic microangiopathy.
Renal function – diabetes can significantly affect kidney function, so monitoring GFR, blood flow, and filtration helps detect problems early.
Metabolic parameters (lactate, metabolism) reflect how cells handle energy and oxygen, which is crucial in metabolic disorders.
Monitoring and measurement of parameters related to the prevention of cerebral infarction, aneurysms, cerebral arterial and venous malformations, and other related conditions.
WHOLE BLOOD VISCOSITY
Whole blood viscosity measurements are conducted for the diagnosis, treatment, and prevention of pre-thrombotic conditions and thrombotic diseases.
MICROCIRCULATION ASSESSMENT
Systemic blood flow (QS);
Microcirculation half update rate (MHR);
Microcirculation half update time (MRT);
Mean retention time of microcirculation (MST).
BLOOD FLOW
Arterial oxygen tension (PaO2);
Vein oxygen saturation (SvO2);
Pulmonary vascular resistance (PVR);
Artery blood oxygen pressure (OI);
Mean pulmonary arterial pressure (MPAP);
Alveolar ventilation (VA);
Oxygen consumption (VO2).
PARAMETERS
Coronary perfusion pressure (CCP);
Myocardial perfusion (CMBV);
Cardiac output force (CPO);
Myocardial blood supply and consumption rate (CMBR);
Right ventricular stroke work (RVSW);
Myocardial blood demand (CMBN).
INDEXES
Cardiac function index (CFI)
Cardiac index (CI)
Left ventricular stroke work index (LVWI)
BLOOD OXYGEN
Arterial oxygen saturation (SaO2)
Oxygen consumption (VO2)
Pulmonary Vascular Permeability Index (PVPI)
Pulmonary blood volume (PBV)
Arterial oxygen tension (PaO2)
Intrapulmonary shunt fraction (Qs/Qt)
Mean pulmonary arterial pressure (MPAP)
Oxygen extraction ration (O2ER)
GAS EXCHANGE MEASUREMENT
Alveolar ventilation (VA)
Minute ventilation volume (VE)
Oxygen consumption (VO2)
Inspired oxygen tension (PiO2);
Respiratory quotient (RQ)
Arterial partial pressure of carbon dioxide (PaCO2)
Vein partial pressure of carbon dioxide (PvCO2)
Dead space ventilation (VD)
Rapid Shallow Breath Index (RSBI)
AST/ALT ratio
KEY PARAMETERS.
Blood Plasma Ammonia (BASED)
Alanine Aminotransferase (ALT)
Aspartate Aminotransferase (AST)
AST/ALT ratio
Lactate (Lac)
INDICES.
HOMA-B – β-cell function calculation
HOMA-IR – insulin resistance index
LAP – lipid accumulation product index
TyG – triglyceride-glucose index
UHR index (uric acid / HDL cholesterol ratio)
VAI (Visceral Adiposity Index)
RISK ASSESSMENT.
Non-alcoholic fatty liver disease (NAFLD)
Severe liver failure
Reye’s syndrome
Steatosis
Steatohepatitis
Viral hepatitis (including Hepatitis B and C)
Autoimmune hepatitis
Fibrosis
Liver cirrhosis
Hepatocyte necrosis
Liver helminth infections
Hemochromatosis
Wilson’s disease
Primary sclerosing cholangitis (PSC)
Metabolic acidosis
MEASURED PARAMETERS:
Renal filtration fraction (GFF)
Renal perfusion pressure (RPP)
Renal blood flow (RBF)
Uric acid (UA)
Serum creatinine (SCr)
Blood urea nitrogen (BUN)
EXAMPLE OF RISK ASSESSMENT:
Estimated results Implication:
Glomerular filtration fraction means the ratio of glomerular filtration rate to renal plasma flow. Under
normal conditions, it is 20%. It reflects the filtration function of glomerulus, which thus reflects the function of kidney..
Evaluation:
1. Glomerular filtration rate is increased generally for the following reasons: physiological cause, primary glomerular disease and secondary glomerular disease.
2. At a decrease of glomerular filtration rate, the following conditions can occur: metabolites discharge decrease, acid metabolites accumulation, water/sodium retention, cardiac insufficiency, heart failure, wheezing suffocation and dyspnea.
Suggestion:
1. Suggestions: Continue the health monitoring. 2. If glomerular filtration fraction is decreased continuously and some symptoms are complicated (such as nausea, vomiting, creatinine increase, edema and hypertension), please visit a hospital in time to determine the cause of kidney disease and give an effective treatment.
Parameters, risks and conditions.
Brain health is directly influenced by numerous physiological factors related to blood flow, oxygen exchange, and neuronal metabolism. Deviations in these parameters can lead to serious complications, including ischemic and hemorrhagic strokes, hypoxia, cognitive impairments, and other neurological disorders. Below are the key indicators of cerebral blood flow and metabolism, along with the potential risks associated with their dysfunction.
Cerebral Blood Flow Resistance (CVR).
ischemic brain injury
vasogenic edema
increased susceptibility to strokes
Jugular Oxygenation (SjVO2).
brain hypoxia
cognitive impairment
neuronal damage
post-TBI complications
Cerebral Perfusion Pressure (CPP).
strokes (ischemic/hemorrhagic)
brain edema
neurological complications
Jugular Venous Oxygen Content (CjVO2).
hypoxia
schemic brain injury
neuronal death
Cerebral Blood Flow (CBF).
strokes
encephalopathy
seizures
headaches
brain tissue damage
Cerebral Blood Volume (CBV).
cognitive impairment
dementia
neurological disorders
Intracranial Pressure (ICP).
headache
vomiting
altered consciousness
brain injury
Carotid-Venous Oxygen Content (AjVDo2).
brain ischemia
neuronal damage
impaired brain oxygen metabolism
Fibrinogen (FIB).
hemorrhagic complications
thrombosis
stroke
thromboembolic complications
Cerebral Oxygen Metabolic Rate (CMRO2).
neurodegenerative diseases, ischemia
ischemia
impaired brain energy metabolism
cognitive dysfunction
NUTRITIONAL ANALYSIS
Monitoring of possible from problems - poor metabolism, obesity, overeating, low muscle mass, etc.
The results of the analysis generate graphs of actual protein, fat and carbohydrate intake, as well as a graph of calories consumed and calories expended.
DIETARY MANAGEMENT
This section explains how nutrition affects the functioning of major body systems — the heart, lungs, liver, and brain. Recommendations are provided in context, advising dietary modifications based on a reasonable total energy intake. For example, specific diets will be recommended for unstable heart function.
PERSONALIZED DIET
We have created several balanced nutrition packages to help users reduce body weight, body fat, inflammation, and factors related to metabolic syndrome and cardiovascular disease. Product bundles are listed for each package:
Energy value in kilocalories
Nutrient analysis in percentages
A separate section contains our favourite recipes for a healthy lifestyle
OVERVIEW
The app provides a complete analysis of the state of the body’s systems in relation to physical activity, lifestyle, and sports.
This section provides recommendations for types of physical activity and suggests exercise routines.
The user can set exercise goals and track their progress.
ACTIVITY AND EXERCISE
Physical Fitness Assessment.
Athletic goals and timelines for achieving them.
A guidebook with exercise groups.
Before the user receives personalized exercise recommendations, and can follow them and track analytics, the AI will take some time to collect data about the user's health status.
MEASURABLE PARAMETERS
MBI (body mass index)
RMR (resting metabolic rate)
Fat percentage
Muscle mass (%)
Obese mass
O and CO, metabolic P(va)CO analyses
Analysis of daily heat intake
Carbohydrate, fat and protein intake
FATIGUE AND STRESS ASSESSMENT
The artificial intelligence measures the fatigue index using a three-level scale:
Energetic (0-13)
Mild fatigue (30-80)
Severe fatigue (80-100)
The index takes into account both the user’s mental and physical fatigue.
After calculating the fatigue index, the AI assesses the risk to mental health and generates personalized recommendations to improve mental well-being, reduce fatigue (overwork), and manage stress levels.
PSYCHOLOGICAL ANALYSIS – EMOTIONAL MONITORING
The psychological analysis is based on monitoring the user’s emotions, which are presented as a radial chart evaluating the following parameters:
Anxiety
Depression
Relaxation
Fear
Positivity
Anger
Stress
Sadness
Mania
The result of the analysis is the AI’s conclusions about the user’s mental health and the creation of personalized recommendations regarding behavior, nutrition, and overall improvement of psychological well-being.
The Borges AI subsystem measures and calculates approximately 40 sleep health indicators on a low-normal-high scale. All predictions regarding the user's health status, probability of disease development, and recommendations are based on sleep health diagnostics.
PARAMETERS
Apnea
Snoring
Sleep duration
Sleep phases
Select from the list of prescribed medications you take and monitor their effects on your body through reports generated based on measurement results and AI analysis.
The user can choose between conventional medicines and traditional Chinese medicine products.
The app provides reminders to take medication.
BUILT-IN TONOMETER. WITHOUT A PUMP.
Self-monitoring with ACCO AI measurements can help you stay motivated to control your blood pressure by improving your diet, physical activity, and proper medication use.
Convenient monitoring without a pump
Measurements during heart relaxation (diastole)
Lower and upper level graphs are shown
Measurements during heart contraction (systole)
HEALTH ASSISTANT AND RISK ASSESSMENT.
Health Assistant is a recommendation system that, based on collected health data, assesses disease development risks, predicts health parameters, and generates recommendations for health improvement.
To date, we have learned to work with the following diagnoses, and the list is continuously expanding.
* Consult your doctor and undergo additional tests to confirm the diagnosis.
Myocarditis, myocardial hypoxia, ischaemic heart disease
Brain infarction, aneurysm, cerebral arterial and venous malformation
Gout, primary glomerulonephritis, uremia, hyperuricaemia, severe urinary tract infections
Complementary diagnosis of chronic obstructive pulmonary disease
Prediabetes and all types of diabetes
Who the artificial Intelligence platform Is designed for.
The platform can be applied across a wide range of industries — from hospital patient health monitoring to overseeing the well-being of airline pilots.
FLEETS.
Driver health monitoring. Emergency situation management and data collection for remote medical check-ups.
CLINICS.
Continuous monitoring of patient health parameters, either in-hospital or remotely. Staff alerts.
SERVICES / HIGH-RISK STAFF.
High-risk employee health monitoring. Alerts and guidance for physically demanding and hazardous duties.
COMPANIES.
Front-office employee health monitoring. Stress and fatigue tracking to maintain workplace safety and well-being.
Accofrisk platform advantages.
Collecting the most comprehensive health data through unique AI-driven capabilities.
HEALTH.
Unlimited user connection for seamless health monitoring across all accounts.
24/7.
Continuous tracking of 300+ physical and mental health parameters in real time.
INTEGRATION.
API support for smooth integration with company or hospital information systems.
CUSTOMIZATION.
Development of platform features tailored to company or hospital-specific needs.
FLEXIBILITY.
Access via cloud or deployed on client infrastructure for maximum convenience.
Industry solution for transport companies.
The driver health monitoring platform is designed to improve driving safety and employee well-being. Remote medical check-ups and automatic ignition system blocking ensure operational security.
TEAM CONTROL
Personal digital profile for each driver
Health analytics along the entire route
Reports on users and health parameters
Centralized team health control center
Remote medical check-ups for drivers
Alerts in critical or emergency situations
Monitoring alcohol and prohibited substance use
DURING DRIVING.
Voice interface for alerts and system control
Audible warnings in hazardous situations
Measurement of physical and mental health metrics
Driver posture monitoring for safety
Monitoring of driver attention and focus
Recommendations on nutrition, workload, sleep, and rest
TECHNOLOGY.
AI-powered watches as terminal devices
G-sensor, accelerometer & gyroscope
Browser or tablet-based operation
Data transmission via public 4G/5G networks
Built-in eSIM in the terminal device
Health metrics measured and digital profile updated every 5 minutes
Industries already using our AI platform.
We have completed hundreds of projects in companies that have taken employee, client, and patient health management to the next technological level. Managers in these organizations are already making decisions guided by the most important metric and value — the health of people.
FITNESS INDUSTRY
SHIPPING COMPANIES
MINING ENTERPRISES
TRANSPORT COMPANIES
EMERGENCY SERVICES
MARITIME TRANSPORT
AGRICULTURE
MANUFACTURING
PROFESSIONAL SPORTS
CONSTRUCTION COMPANIES
AVIATION
OIL INDUSTRY
GAS EXTRACTION
INSURANCE
Real data for high-quality medical model training and improved care.
Collaboration models with partners interested in high-quality real medical data for their research..
Accofrisk AI aggregates data on users’ physical and mental health, including sleep, activity, nutrition, and medication intake. This data helps create and train AI models using tools such as Hugging Face, Google Vertex AI, AWS SageMaker, Microsoft Azure ML, OpenAI Fine-Tuning, Grog, and can also integrate with medical platforms like Epic, Cerner, and IBM Watson Health. It enables the development of predictive disease models, time series analysis to identify patterns and early signs of health issues, generative models for the “digital twin” scenario — simulating how the body reacts to different loads, personalized lifestyle recommendations, and individualized reports for doctors and HR.
The platform’s data can also be shared with research communities such as PhysioNet, MIMIC, the All of Us Research Program, OHDSI, and the Kaggle Medical Datasets Community to develop medical AI models, analyze clinical data, and conduct health research.
Unlike synthetic health data, which is generated algorithmically, Accofrisk AI data is based on real measurements and observations. This makes it particularly valuable for accurate AI model training, personalized recommendations, and predictive systems. While synthetic data is useful for model testing and privacy protection, it cannot fully replicate the natural variations and patterns of human health..
For secure data transfer, the platform uses APIs and RESTful services, standard formats (CSV, JSON, HL7/FHIR), encryption, access control, and anonymization, ensuring information is protected when shared.
Accofrisk AI can be integrated with a clinic’s electronic medical record (EMR) system to provide analytics on all connected users who have consented to their data being used for research. Comparing the clinic patients’ metrics with a broader dataset allows identification of anomalies and new patterns, supports disease risk prediction, and helps optimize patient monitoring and care programs.
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