ACCO AI Glucometer - Artificial Intelligence-Powered Glucometer. Data-Driven Nutrition for Diabetes.

Artificial Intelligence (AI) for Real-Time Glucose, Health Insights, and Daily Balance. The ACCO AI Glucometer is part of the AI system of our company, Accofrisk, and measures blood glucose levels along with parameters related to diabetes and hypoglycemia. It is available in our company’s AI watch, and the AI technology can be easily integrated into any partner wearable device.

ACCO AI Glucometer: AI-Powered Features.

Core Features.

The glucometer measures glycated hemoglobin (HbA1c), fructosamine, glycated albumin, and indicators related to hypoglycemia and diabetes.

Measurement Process.

• Minimum measurement interval: 5 minutes.
• Measurement accuracy: up to 0.01.
• Customizable measurement intervals: yes.
• Calibrate by tapping the app button three times at first launch.

Blood Sugar Indicators.

The glucometer measures oxygen consumption, cerebral blood flow (CBF), insulin resistance index (HOMA-IR), pulmonary vascular resistance (PVR), respiratory entropy, arterial partial oxygen pressure (PaO₂), and arterial oxygen saturation (SaO₂).

Indicators related to hypoglycemia.

• Fibrinogen.
• Serum creatinine.
• Systolic blood pressure.
• Heart rate.
• Whole blood viscosity.
• Myocardial oxygen consumption.

AI-powered non-invasive glucometer now available for users.

Today, artificial intelligence tools for glucose monitoring and diabetes management are available on ACCO AI watches. In the future, the AI glucometer will also be accessible in pocket devices, HEALTHPHONE, and partner health monitoring devices.

Comprehensive diabetes management with ACCO AI.

• Blood viscosity and fibrinogen (important for reducing the risk of thrombosis and vascular complications).
• Insulin resistance (HOMA-IR) and β-cell function (HOMA-B).
• Microcirculation (impaired blood flow in small vessels, diabetic microangiopathy).
• Kidney function (monitoring GFR, blood flow, and filtration).
• Metabolic parameters (lactate, cellular metabolism, energy and oxygen utilization).

Artificial intelligence-based non-invasive glucose control technologies.

Using an optical sensor, ACCO monitors volumetric pulse waves and subtle thermal changes from the user’s wrist through photoplethysmography (PPG), a cutting-edge method for assessing blood flow. Advanced artificial intelligence then analyzes the spectral data to calculate glucose levels accurately. The AI also identifies distinct pulse patterns-such as slippery or string-like pulses-by examining time-domain and hemodynamic parameters, providing a comprehensive picture of cardiovascular health.

The ACCO artificial intelligence-based glucometer records to optical signals reflected from the artery over 90 seconds, performing 55,000 pulse wave measurements.

All data is processed by cloud-based AI, which accurately calculates glucose levels and takes into account the effects of medications not related to diabetes treatment, providing a more precise and personalized assessment. Clinical trials demonstrated high accuracy - 95.37% in patients with type 2 diabetes, confirming the reliability of the technology.

Data-driven nutrition for diabetes.

The functionality of Accofrisk AI devices helps users with diabetes create a personalized nutrition strategy and continuously monitor their intake of proteins, fats, carbohydrates, and calories for an optimal dietary balance.

The devices identify potential nutrition-related problems, such as poor metabolism, obesity, overeating, low muscle mass, and other health indicators. This helps users understand which areas of their diet and lifestyle need attention.

The devices take into account the user’s medical diagnosis and medications. All nutrition recommendations are tailored to these factors, helping to maintain health and reduce the risk of complications.

In the “Nutrition Regulation” section, the devices show how diet affects the functioning of key body systems — heart, lungs, liver, and brain. Users can see which foods support the health of these organs.

Clear charts display actual intake of proteins, fats, and carbohydrates, as well as calories consumed versus burned. This allows users to monitor dietary balance and adjust their nutrition in real time.

Based on device analysis, an individualized meal plan is created for breakfast, lunch, and dinner. It accounts for grams of proteins, fats, and carbohydrates, as well as daily calorie targets, ensuring a well-balanced diet.

The next step is generating personalized nutrition advice. These recommendations help maintain energy levels, ensure the proper balance of macronutrients, and serve as a daily guide for choosing high-quality, necessary foods.

Diet and Recipes for diabetes.

We have created several balanced dietary packages designed to help reduce body weight, decrease fat deposits, lower inflammation, and positively influence components of metabolic syndrome and cardiovascular risk factors. Each package includes:

The “Recipes” section in the app features dishes specifically developed to support health for people with diabetes. These recipes:

Each dish is easy to prepare and suitable for a daily healthy diet.

Using the glucose meter for your own purposes to monitor diabetes-related parameters, manage your diet and physical activity, track other health indicators, and help prevent diabetes.

With the ACCO AI watch, you can monitor up to 20 accounts of loved ones, tracking parameters associated with blood sugar and diabetes management.

Provides the ability for healthcare teams to monitor multiple diabetes patients remotely and non-invasively, supporting better care management and preventive strategies. The scenario is realized by linking devices to the Accofrisk platform, enabling remote, non-invasive AI-based monitoring.

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