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 Apr 02, 2019

Shipping Has Begun!

AIR-T has officially started shipping! We expect all units to be shipped to Crowd Supply’s warehouse within the next 10 days. From there, it will take another few business days to get them out to backers. When your order ships, you will receive a shipping confirmation email with a tracking number from Crowd Supply. If you need to confirm or update your shipping address, please log in to your Crowd Supply account.

While you wait for your AIR-T, check out our tutorial on getting started with the AIR-T.

The team at Deepwave Digital would like to thank everyone for their patience and we will be reaching out to hear your feedback on the product in the near future.

The Deepwave Digital team


$147,839 raised

of $20,000 goal

739% Funded! Order Below

Product Choices

$10

Support Us!

Thanks for helping make the AIR-T a reality! You will be rewarded with good karma and regular backer updates.


$6,299

AIR-T

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. Save 10% off of MSRP.


$129

MCX-to-SMA Cables (6 Pack)

A set of six MCX-to-SMA cables allows for easy access to all the AIR-T MCX connections simultaneously. Each cable is 6 inches (15.24 cm) long with a male MCX right-angle connector and a female SMA (bulkhead style) connector.

Credits

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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