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Cloudrf

cloudrf.com

Cloudrf - Cloud-RF API

The API allows users to build and test radio links for any radio globally. Authentication is required using the API2.0 key in the request header. Operations include deleting entries and files, exporting data for third-party viewers, listing area and path calculations, defining area coverage, uploading GeoJSON features, analyzing network interference, creating mesh calculations, querying networks, generating path profiles, and testing transmitter-receiver points.

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Enhance your radio link testing process with our AI assistant. Test and optimize radio links for any network effortlessly. Improve network performance and reliability with advanced AI-driven insights.

Use cases

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Optimize Radio Links with AI Assistance

Chat examples

Can you analyze the radio link performance for Network X and suggest optimizations?
I've analyzed the radio link performance for Network X and identified areas for optimization. By adjusting the signal strength in specific areas, we can enhance network coverage and reliability. Would you like to proceed with these optimizations?

Effortlessly export your radio link data in a format compatible with advanced visualization tools like Google Earth and ESRI Arcmap. Empower your data analysis with seamless export capabilities tailored for visualization.

Use cases

Chat examples

Export radio link data for Network Y in a format suitable for Google Earth visualization.
I've exported the radio link data for Network Y in a GeoJSON format compatible with Google Earth. You can now visualize the network coverage and analyze signal strengths effectively. Is there anything else you need assistance with?

Leverage AI-driven network optimization to enhance server allocation and mesh calculations. Improve network performance and reliability by dynamically analyzing sites within your network for optimal server selection.

Use cases

Chat examples

Can you optimize the network performance for our Cloud Network Z by analyzing server allocation?
I've optimized the network performance for Cloud Network Z by dynamically analyzing server allocation. The mesh calculations have promoted stronger signals, enhancing network reliability. Would you like to review the optimization results?

Transforming user intents to actions with a genie touch