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GW

G-WAY Solutions, LLC

GWave has developed the world's first non-invasive glucometer that utilizes radio frequency (RF) waves to continuously and accurately measure blood glucose levels in real-time, achieving over 95% accuracy compared to traditional finger-prick devices. This technology eliminates the need for painful and inconvenient blood sampling, providing a seamless user experience through Bluetooth connectivity and automated alerts for glucose fluctuations.

Founded 201720300+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Current methods for monitoring blood glucose levels typically involve invasive procedures, such as finger pricks, which can be painful and inconvenient for users. Traditional devices also require frequent calibration and may not accurately reflect real-time glucose fluctuations due to measuring glucose in interstitial fluid rather than blood.

Solution

GWave has developed a non-invasive continuous glucose monitoring (CGM) system that uses radio frequency (RF) waves to measure blood glucose levels in real-time. The GWave system utilizes proprietary AI algorithms and sensors to monitor glucose levels directly in the blood, providing accurate measurements without the need for finger pricks or calibration. The device connects to a smartphone app via Bluetooth, allowing users to track their glucose readings and receive automated alerts for fluctuations. Data is securely stored in the cloud, enabling users to share information with caretakers and medical professionals.

Target Audience

The primary target audience includes individuals with diabetes (type 1 and type 2) who require continuous glucose monitoring, as well as individuals with pre-diabetes seeking preventive monitoring solutions.

Features

  • Non-invasive glucose monitoring using RF wave technology
  • Real-time, continuous glucose readings
  • Measures glucose levels directly in the blood for improved accuracy
  • Wireless connectivity via Bluetooth to a smartphone app
  • Automated alerts for glucose fluctuations
  • Secure cloud storage of user data
  • AI-powered algorithms for precise measurements
  • Compact and wearable device design
This profile is AI-generated and may contain inaccuracies.