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Deepwave Digital

Deepwave Digital provides integrated hardware and software solutions that enable artificial intelligence in radio frequency and wireless systems through its Artificial Intelligence Radio Transceiver (AIR-T) platform. This technology reduces network bandwidth and latency by moving AI computation to the signal edge, facilitating efficient signal analysis without human intervention.

Philadelphia, United States · HQ
Founded 2017101K+ followers
  • Artificial Intelligence
  • Enterprise Software
  • Hardware
  • Internet of Things
Updated 5 months ago

Funding

Raised to date

$6.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

KstreetNo round attributed
StarburstNo round attributed
Funding rounds are not available yet.

Founders

1 founder

John Ferguson

CEO

Product

Problem

Traditional radio frequency (RF) and wireless systems require significant network bandwidth and introduce latency due to the need for human-driven analysis and centralized processing. Moving data from the signal edge to a central processing unit for analysis creates bottlenecks and delays, hindering real-time decision-making.

Solution

Deepwave Digital provides integrated hardware and software solutions that enable artificial intelligence (AI) at the signal edge for RF and wireless systems. The Artificial Intelligence Radio Transceiver (AIR-T) platform reduces network bandwidth and latency by moving AI computation to the edge, facilitating efficient signal analysis without human intervention. This allows for real-time insights and automated systems, making RF intelligence more accessible and enabling low-latency systems of action. Deepwave's solutions cater to various applications, including avionics, autonomous systems, industrial IoT, communications, and electronics.

Target Audience

The primary target audience includes professionals in avionics, autonomous systems, industrial IoT, communications (5G/6G networks), and electronics, as well as engineers and researchers developing AI, deep learning, and high-performance wireless systems.

Features

  • AIR-T: A software-defined radio (SDR) platform designed for RF and wireless deep learning applications, featuring an NVIDIA GPU, an AMD FPGA, and a multi-core CPU.
  • AirStack: A software platform that enables AI-driven signal processing applications at the edge, compatible with AIR-T and other edge platforms.
  • AirPack: A framework within AirStack for building and deploying AI models on the AIR-T.
  • AirStack Sandbox: A development kit for building custom firmware on the AIR-T's Xilinx FPGA.
  • Spectrum Sensing software: Utilizes DNN technology for classifying signals using the AIR-T.
  • Continuous frequency coverage from 300 MHz to 6 GHz.
  • 2x2 MIMO with 100 MHz receiving and transmitting bandwidth.
This profile is AI-generated and may contain inaccuracies.