Artificial Intelligence Radio - Transceiver (AIR-T)

by Deepwave Digital

A high-performance SDR seamlessly integrated with state-of-the-art deep learning hardware


  • Baek H

    Yuseong-gu, Korea, Republic of

  • Reza S

    St. John's, Canada

  • Cisco Systems

  • Carmell B

  • Arto Bendiken


  • Dylan B

    Mesa, AZ

  • Dave P

    Sevenoaks, United Kingdom of Great Britain and Northern Ireland

  • Samantha C


  • Craig S

    Prospect East, Australia

  • Lincoln U

    Highlands Ranch, CO

  • Shahin L

    Rockville, MD

  • Kevin M

    Folsom, CA

  • Russell S

    Port Washington, NY

  • Lance M

    Washington, DC

  • youngbae k

    Seongnam, Korea, Republic of



  • Kelly L

    Aberdeen, MD

  • Gautier N

    Boussy Saint Antoine, France

  • Dawn B

    San Jose, CA

  • Brian G

    Severna Park, MD

  • Laura C

    Laurel, MD

  • Jerome O

    Fontaine, France

  • Dirk N

    Shrewsbury, MA

  • Jason L


  • Art I

    Tampa, FL

  • Joshua P

    Brookhaven, GA

  • John E

    Groton, MA

  • William W

    Morgan Hill, CA

  • Scudder S

    Kennett Square, PA

$165,116 raised

of $20,000 goal

825% Funded! Order Below

Product Choices



The AIR-T is the first platform that enables out-of-the-box machine learning wireless systems. Simply port current GNURadio or code directly in Python to access the radio frequency spectrum. Includes, AIR-T board, four MCX-to-SMA cables, SD card with customized Ubuntu operating system and software, getting started tutorial, and power supply.


Deepwave Digital

We are a dedicated team of radio frequency and wireless industry experts with over fifty years of combined experience providing digital signal processing solutions to the commercial and defense industries. We understand both the technical capabilities as well as the limitations of these technologies, leading us to develop novel hardware and software solutions to combine the fields of artificial intelligence and signal processing.

John Ferguson

Steven Kline

Peter Witkowski

Steve Lisi

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