Mobile network auditing and drive testing assisted by AI
Support mobile network audits with georeferenced drive test evidence, centralized monitoring and AI-assisted analysis. Signal-Tracking brings RF KPIs, throughput, calls, routes and coverage maps into one traceable technical workflow.
Evidence-based mobile network audits
Define a campaign scope, collect measurements on compatible Android devices and retain the route, time, operator and device context required for later technical review.
AI-assisted monitoring and analysis
Use artificial intelligence to organize available campaign evidence, summarize metrics and highlight patterns or critical areas. Specialist validation remains part of the final audit process.
Coverage and performance verification
Review radio conditions and data performance together. Maps and reports help document findings for optimization, service validation, acceptance testing and independent network assessment.
Frequently asked questions
What does a mobile network audit include?
Its scope may include coverage, RF quality, technology, serving cells, throughput, calls, route continuity and comparison against project criteria.
How is AI used in drive test analysis?
AI helps structure measured evidence and highlight patterns; it does not replace engineering judgment or final validation.
Can the evidence support acceptance testing?
Yes. Traceable measurements, maps and reports can support a documented acceptance or verification process when aligned with the project's methodology.