Antenna engineering expertise. Now within reach.
An AI-powered platform designed to simplify antenna selection and integration for wireless device developers.
Initial customer access targeted for H1 2027.
Smarter antenna decisions start here.
Finding the right antenna involves more than matching specifications. Radio requirements, device dimensions, integration constraints, and testing all matter. Airgain RF Intelligence aims to simplify antenna selection for wireless device developers, including those designing compact IoT devices or seeking alternatives to traditional custom engineering.
Describe your requirements
Enter radio details or describe your device and application needs in plain language.
Explore antenna options
Engineering-based rules and technical data help identify suitable antennas from Airgain's existing portfolio based on radio specifications, physical constraints, and integration requirements.
Understand the recommendations
AI-assisted explanations help developers understand why an antenna may be suitable, along with potential integration risks and additional testing needs.
Recommendations are intended as engineering guidance. Final device performance and compliance require validation and testing.
Built on Airgain's engineering experience.
Airgain has spent decades designing antennas for telecommunications, broadband, and connected-device manufacturers. Airgain RF Intelligence aims to make that engineering knowledge accessible to a broader community of developers.
Decades of
RF engineering experience
Thousands of
unique antenna designs
1 billion +
antennas shipped
Global
device and connectivity experience
Help shape what comes next.
Airgain is inviting qualified OEMs, wireless device developers, and ecosystem partners to apply for the Airgain RF Intelligence Early Evaluation Program.
Selected participants will have an opportunity to evaluate initial capabilities, provide feedback, and help shape future development.
- Selective application process
- Early feedback opportunity
- Initial customer access targeted for H1 2027
Under development
Selective participation
Evolving capabilities
