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.
Funding
$6.2M raised to dateRaised 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.
Founders
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.