deepwave.ai

What It Is

Deepwave AI focuses on “RF Data Into Real-Time Insights,” offering AIR-T edge hardware and the AirStack software suite to turn high-throughput radio-frequency signals into low-latency intelligence that automated systems can use. It is not a general-purpose chat-style AI tool, but specialized RF AI infrastructure for SDR, spectrum monitoring, aviation, autonomous systems, communications networks, and electronic testing.

Core Capabilities

AirStack consists of Core, Edge, and BitStream. Core is a runtime environment based on NVIDIA Jetpack and Linux/Ubuntu LTS, supporting SDR control, AI model execution, CUDA, TensorRT, ONNX Runtime, PyTorch, TensorFlow, MATLAB, CuPy, GNU Radio, and related tools. Edge provides REST API / OpenAPI capabilities for remotely deploying models, validating models, collecting data, publishing results, and integrating with enterprise systems, orchestration platforms, and MLOps workflows. BitStream is aimed at FPGA development, enabling ultra-low-latency preprocessing, channelization, pulse detection, modulation/demodulation, and similar tasks between the RF front end and the CPU/GPU.

Typical Use Cases and Outputs

One typical example described is converting FM broadcast signals into text: AIR-T captures RF signals, performs demodulation and ASR model inference, then securely publishes the text and metadata to an external platform. Other applications include aviation navigation awareness, autonomous vehicles, 5G/6G networks, industrial IoT, RF signal characterization, electromagnetic spectrum monitoring, and fast signal forwarding. Its core value lies in processing raw IQ data at the edge and sending back only ML classifications or text results; according to the company, this can reduce data backhaul volume by more than 10 million times.

Security, Integration, and Limitations

Deepwave emphasizes enterprise-grade security. AirStack Edge enforces encryption and authentication for API calls and uses cryptographic modules that support FIPS 140-3 validation, making it suitable for regulated or high-security environments. Its limitations are that the available material does not disclose pricing, free trials, delivery model, SLA, Chinese documentation, or accessibility from China. The product also depends heavily on AIR-T hardware, RF engineering, FPGA expertise, and AI deployment capabilities, creating a high adoption barrier for ordinary software teams. Full BitStream development may also involve third-party licenses such as AMD/Xilinx Vivado.

Who It Is For and Access from China

It is better suited to defense and aerospace, communications testing, spectrum monitoring, automated systems, and advanced R&D teams than to general enterprise office AI users. Information on mainland China access, procurement, payment, and local support is not provided in the text, so these remain unknown. If alternatives are needed, consider the USRP/GNU Radio ecosystem, NVIDIA Jetson edge AI solutions, or custom systems from domestic SDR, spectrum monitoring, and communications testing vendors.