Antenna
Robust, stable and multi-protocol, our antennas deliver optimum performance for IoT, M2M and industrial architectures.
They cover a wide spectrum of frequencies and technologies to meet every application need.
Wide choice of connectors
Cable length on request
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Antenna: performance, reliability and connectivity for professionals
Optimized for demanding applications
Our antennas are designed for a wide variety of professional applications, including industrial automation, smart cities, security, connected agriculture and logistics. Their robust design enables integration in complex environments while maintaining stable performance.
Designed to meet your needs
Designed to meet the most stringent requirements in terms of use and installation, our antennas combine robustness and performance. They are compatible with the main protocols and frequencies: LTE, 5G, LoRaWAN, Sigfox, Wi-Fi, GNSS... For your long-range projects or specific installations, we have the right antenna.
Easy integration and field reliability
Designed for integrators, installers and engineers, our RF antennas are easy to install and configure. They are field-proven in critical environments. You save time on implementation, and ensure continuity of service for your connected devices.
A solution for every need
Omnidirectional, directional, integrated or external, our antennas cover all applications. We help professionals choose the right product, based on technical constraints, installation environment and wireless communication objectives.
FAQ - Antenna
An omnidirectional antenna transmits the signal in all directions, ideal for global coverage. A directional antenna concentrates the signal in a precise direction, for higher gain.
It depends on your application: LoRa for long-range connected objects, LTE/5G for broadband communications, GNSS for geolocation, etc.
Yes, our antennas are designed to withstand rigorous outdoor conditions: rain, wind, dust, extreme temperatures.
Some antennas are multiband or combined to meet this requirement. We offer specific models for these applications.