Complex networks.
Clearer possibilities.

MIRAII’s AI-driven vRAN planning solution uses machine learning to bring structure to complex virtualized RAN planning. Clustering supports the mapping of group centers, virtual centralized units and distributed units, with latency and resource allocation in view.

MIRAII combines drive-test, scanner, crowdsourced and internal data to automate network performance analysis and benchmarking. GIS views help engineers assess service quality across operators and locations, while machine learning classifies failures to support investigation. Repeatable measurement planning and data-quality checks underpin the analysis.

MIRAII applies AI robotics to international roaming testing. Talk with our team about the markets, service scenarios and validation requirements for your roaming network.

MIRAII applies AI and machine learning to RF interference detection, classification, root-cause analysis and geolocation. OSS/RAN performance and configuration data guide remote monitoring and field investigations with spectrum analyzers, scanners and drive-test equipment. Combined evidence supports source identification, mitigation recommendations and reporting.

MIRAII’s RF model tuning service connects drive-test validation, data preparation and model calibration. Multi-band optimization helps align radio models with measured network conditions.