GlobalEdge provides hardware-agnostic RF AI software that transforms unstructured RF signal data into structured, actionable information for real-time situational awareness across various platforms. This solution enables users to achieve immediate spectrum intelligence without the need for heavy server infrastructure or internet connectivity, addressing the challenge of timely data utilization in critical operations.
Funding
$6.8M 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
Extracting actionable intelligence from raw radio frequency (RF) signal data is challenging due to its unstructured nature and the need for specialized hardware and expertise. Traditional RF analysis methods often involve significant delays and require substantial infrastructure, hindering real-time situational awareness in critical operational environments.
Solution
GlobalEdge provides hardware-agnostic RF AI software that transforms unstructured RF signal data into structured, actionable information, enabling real-time situational awareness across diverse platforms. The software can be embedded on various devices, from man-wearable radios to satellite modems, and deployed in passive, remote environments or high-speed, high-bandwidth use cases. By converting RF signals into persistent, structured data, GlobalEdge delivers immediate spectrum intelligence without requiring heavy server infrastructure or constant internet connectivity. Its AI technology facilitates real-time autonomous learning for monitoring and passive sensing, identification of known signals, and on-the-fly model building.
Target Audience
The primary customers are defense organizations requiring spectrum dominance and electronic warfare capabilities, as well as commercial entities focused on infrastructure security and wireless network optimization.
Features
- Hardware-agnostic software compatible with various devices, including COTS/GOTS SDRs, EW systems, and disposable sensors
- Real-time autonomous learning for monitoring, passive sensing, and signal identification
- "Few-shot" learning capabilities enabling operators to build models on-the-fly
- Cross-platform deployment on land, sea, air, and space
- Low-SWaP (size, weight, and power) design, eliminating the need for heavy server stacks
- Generation of persistent structured data for real-time reports, event analysis, and tactical/strategic planning
- Capabilities include spectrum dominance, electronic order of battle, threat detection, and device location