Cakra — Drive Test Intelligence

Cakra — Drive Test Intelligence is an AI analytics tool that analyzes cellular drive-test data in the browser so RF engineers and network planners can see coverage gaps, cell handovers and performance patterns without stitching logs together by hand. You import traces from G-NetTrack TXT exports with KML events, or CSV files with recognized headers, and Cakra plots timestamped samples against the GPS route with cell context, colored by RSRP. From there it surfaces coverage-gap identification, a handover timeline and filterable evidence so you can trace exactly where and when the network degraded. Its VDT scenarios let you version site and antenna assumptions while keeping measured results clearly apart from estimates, which matters when you are presenting a planning case rather than guessing. Processing is local: the app parses and stores data in the browser and, as the site states, the raw file itself is never uploaded, which keeps sensitive network measurements on your machine. New accounts start with 2 starter credits; full pricing is not published on the page. For telecom teams comparing drive-test analysis options on BestAIFor, Cakra's draw is browser-local processing plus versioned scenarios that keep measurements and estimates separate.

Analyzing cellular drive-test logs for coverage gaps, handover review and RF network planning scenarios.