RADCOM AIM

What RADCOM AIM is

RADCOM AIM provides AI-driven analytics for automated assurance alongside RADCOM ACE or legacy assurance solutions, and can enable zero-touch automation with RADCOM NWDAF. Designed for network operators, it detects anomalies across hundreds of KPIs and KQIs, provides early warnings, and automates root cause analysis. Its predictive analytics support network performance and capacity planning. After deployment on a network, AIM learns baseline behavior and creates thresholds without operator configuration. The product combines supervised and unsupervised machine learning, and analyzes and streams insights in real time. Operators can choose preferred AI models for each use case, including models developed internally, and provide feedback that AIM uses to improve its automated insights. RADCOM describes its products as containerized cloud-native functions that support Kubernetes and integrate with public clouds including AWS, Microsoft Azure, and Rakuten Symphony. A ServiceNow partnership connects service management and service assurance and supports automated ticket resolution. Pricing is available on request, and RADCOM invites visitors to ask questions or request a demo.