Artificial Intelligence Radio - Transceiver (AIR-T)

by Deepwave Digital

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

View all updates Jul 12, 2018

$4,995 Reduced Pricing!

Hello Everyone,

The Deepwave Team has received many emails and comments regarding the AIR-T. From questions and explanations, to motivating words of encouragement, we have received a plethora of people and industry interested in the AIR-T and what Deepwave is up to. More importantly, we are taking actions to meet your needs. Out of all of the feedback, one of the recurring themes is, I love the AIR-T, but it’s just too expensive.

Fair point. While the eventual price of the AIR-T needs to cover our expenses, including ongoing support, we realize you, as our first customers, are taking a chance on us and are giving us valuable feedback, and should therefore receive a significant discount. As such, we’ve decided to reduce the price to $4,995. This price will only be available during the crowdfunding campaign.

Thanks for your support!
The Deepwave Team

$205,212 raised

of $20,000 goal

1,026% Funded! Order Below

Product Choices


Air-T With Enclosure

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, getting started tutorial, and power supply. The Air-T enclosure is expertly constructed from aluminum to produce a polished, elegant, and sleek metallic silver finish. It measures 192 x 182 x 79 mm (7.5 x 7.2 3.1 inches) and the power button illuminates blue when they system is on. All RF ports are brought to the front of the enclosure for ease of use and all computer peripherals connections are brought to the rear.


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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