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Know Labs

Know Labs builds a non‑invasive diagnostic platform that uses radio‑wave technology to detect and quantify a wide range of molecules, from glucose and alcohol to metabolized drugs, without needles or consumable test strips. The platform can be integrated into wearables, mobile devices, or bench‑top instruments, enabling continuous glucose monitoring for the estimated 2 billion people with diabetes or pre‑diabetes at a fraction of current costs.

SeattleFounded 200383K+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

People with diabetes and pre‑diabetes must rely on invasive finger‑prick tests or continuous glucose monitors that require implanted sensors and consumable test strips, leading to pain, waste, and high ongoing costs.

Solution

Know Labs has developed a proprietary radio‑frequency (RF) dielectric spectroscopy platform that non‑invasively measures glucose and other molecules by scanning a broad spectrum of RF frequencies and analyzing the resulting voltage signatures with machine‑learning algorithms. The technology can be embedded in wearable, mobile, or benchtop devices, enabling continuous glucose monitoring without needles, consumables, or implanted transmitters. A lightweight adhesive or strap‑mounted sensor (KnowU) captures high‑resolution 3‑D data from tissue depths up to 10 mm, transmitting results to a companion mobile app via Bluetooth/Wi‑Fi. The platform delivers glucose readings that are 3‑5 times less expensive than current blood‑based methods while maintaining clinical accuracy through AI‑driven data interpretation.

Target Audience

Primary customers are individuals with diabetes or pre‑diabetes seeking a needle‑free continuous glucose monitoring solution, as well as clinicians and researchers requiring affordable, high‑accuracy glucose data for patient care and clinical trials.

Features

  • RF dielectric spectroscopy sensor sweeps 300 MHz–4.4 GHz, collecting up to 1.5 million data points per hour for high‑resolution glucose detection
  • Proprietary machine‑learning models convert raw voltage data into real‑time blood glucose values without calibration strips
  • Form‑factor agnostic design integrates into wearables, mobile accessories, or benchtop instruments
  • Pain‑free adhesive or strap sensor (KnowU) with rechargeable battery, 24‑hour continuous operation, and on‑device storage for 40 hours of offline data
  • Connectivity via BLE, Wi‑Fi, and USB‑C, paired with a mobile app for data visualization, alerts, and research export
  • Multi‑molecule capability to detect oxygen, alcohol, metabolized drugs, and other organic/inorganic substances for broader diagnostic and industrial applications
This profile is AI-generated and may contain inaccuracies.