Market Capitalization (Millions $) |
19 |
Shares
Outstanding (Millions) |
83 |
Employees |
16 |
Revenues (TTM) (Millions $) |
- |
Net Income (TTM) (Millions $) |
-15 |
Cash Flow (TTM) (Millions $) |
-2 |
Capital Exp. (TTM) (Millions $) |
0 |
Know Labs Inc
We are focused on the development and commercialization of proprietary sensor technologies that, when combined with our artificial intelligence, or AI, deep learning platform, are capable of uniquely identifying and measuring almost any material or analyte by detecting, recording, identifying, and measuring the unique "signature" of said materials or analytes using electromagnetic energy to detect, record, identify, and measure the unique "signature" of said materials or analytes. When it comes to radio and microwave spectroscopy, we call this our "Bio-RFID" technology platform, and when it comes to optical spectroscopy, we call it our "ChromaID" technology platform. The data collected by our sensor technology is processed using our proprietary algorithms, which are powered by our AI deep learning platform.
ChromaID was the first technology developed and patented by our company. For the past several years, we have focused on extensions and new patentable inventions that are derived from and extend beyond our ChromaID technology and intellectual property. The rapid advances made with our Bio-RFID technology in our laboratory have caused us to move quickly into the commercialization phase of our company as we work to create revenue generating products for the marketplace. Today, the primary focus of our company is on our Bio-RFID technology and our commercialization and development of related patent assets. Through our wholly owned subsidiaries, we work to exploit additional opportunities and markets that our broad intellectual property and trade secret portfolio addresses.
We have internally and under contract with third parties developed proprietary platform technologies to uniquely identify and measure almost any organic and inorganic material or analyte. Our patented technology utilizes electromagnetic energy along a wide range of the electromagnetic spectrum from visible light and infrared to radio and microwave wavelengths to perform analytics which allow the user to accurately identify and measure materials and analytes depending upon the specified targets or endpoints and field of use. Our proprietary platform technologies are called Bio-RFID and ChromaID.
Our technology platform, Bio-RFID, utilizes spectroscopy at higher wavelengths than ChromaID's optical range to span radio wave and microwave segments of the electromagnetic spectrum. Working in our lab we have developed extensions and new inventions derived in part from our ChromaID technology, which we refer to as Bio-RFID. We believe an important competitive differentiator for Bio-RFID to be its ability to not only identify a wide range of organic and inorganic materials and analytes, but to do so concurrently, and in real time, which potentially enables new multivariate models of clinical diagnostics, and health and wellness monitoring. We are rapidly advancing the development of this technology by increasing its accuracy, sensitivity, and specificity. We have announced detailed results confirming that we have successfully been able to non-invasively measure blood glucose levels in humans. Significantly, we believe Bio-RFID successfully addresses the limiting qualities of optical technologies whose diagnostic capacities may be inhibited by skin tones, skin thickness and other factors.
Our ability to obtain exacting results from the data obtained from our Bio-RFID sensor technology, also referred to as radio frequency spectroscopy or RF spectroscopy, is a consequence of the application of our trade secret algorithms. We have worked for the last several years on the AI and machine learning, or ML, that drives the accurate pattern recognition of our algorithms. This work has led to the development of a robust AI deep learning platform. This AI deep learning platform drives the data pattern recognition for Bio-RFID's exacting determination of blood glucose levels. It can also provide the data recognition for blood alcohol and blood oxygen levels which we have also identified in preliminary tests. It will provide the analytics for the long list of other analytes in the human body that we will pursue non-invasive detection of, many of which are set forth in our issued patent USPTO 11,033,208 B1. Our AI deep learning platform may be separately monetized through our subsidiary AI Mind.
We continue to build the internal and external development team necessary to commercialize our technology as well as make additional patent filings covering the intellectual property created with new inventions. The first applications of our Bio-RFID technology will be in a product marketed as a glucose monitor. It will provide the user with real time information on their blood glucose levels. This product will require US Food and Drug Administration, or FDA, clearance prior to its introduction to the market, which we plan to pursue. We have previously announced two versions of our non-invasive glucose monitoring device. We have identified these as the KnowU and the UBand. The KnowU will be a desk top version with a portable monitoring device for periodic glucose monitoring and the UBand will be a wearable for continuous glucose monitoring.
Company Address: 619 Western Avenue Seattle 98101 WA
Company Phone Number: 903-1351 Stock Exchange / Ticker: NYSE KNW
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