As network automation and agentic systems take hold, traditional analytics impose three constraints on operator agility. They are not dynamic: changes to data structures often require vendor engagement, a new software release, and a planned service interruption. They are not cost-efficient: simple requests can turn into months-long custom development projects. And they are not real-time: analytics often run at 15-minute resolution at best, while live troubleshooting needs sub-one-minute granularity, down to 10 seconds. RADCOM ADM is designed to address all three. It draws on both RADCOM ACE assurance data and external feeds, real-time or historical, with on-the-fly Call Detail Record (CDR) correlation.

"The pace at which network conditions change demands analytics that can keep up," said Eran Dotan Rosenberg, Vice President of Product Management at RADCOM. "With RADCOM ADM, operators can define the data they need, at the resolution they need it, and the moment they need it. The platform adapts to the operator, not the other way around. And because streaming data flows directly into RADCOM Neura's agentic AI layer, ADM serves as the data foundation that makes Neura's agents reliable and accurate, turning real-time insights into automated action."

The module is powered by RADCOM RASE (Real-time Adaptive Streaming Engine), RADCOM's new real-time analytics engine, which combines dynamic aggregation with resolution as fine as 10 seconds. Critically, it surfaces insights into the subscriber's experience as events unfold. Delivering RADCOM RASE required a fundamental rebuild of RADCOM's core infrastructure, including new in-memory databases, a new processing architecture, and new scaling approaches. This is the depth of engineering required to deliver real-time analytics at Tier-1 operator scale, and it is not easily replicated.

The result is a shared analytics foundation across RADCOM ACE: every KPI defined in RADCOM ADM flows into RADCOM ACE network analytics, RADCOM AIM anomaly detection, and RADCOM Neura's agentic AI layer, using the same KPI identifier to establish a single source of truth across the platform.

For operators, RADCOM ADM is designed to help teams that depend on network data get what they need in real time: network operations teams that need immediate, on-demand data for fault resolution; network planners and engineers that need structured planning data; and business functions such as marketing, fraud management, and device analytics that need business intelligence (BI)-grade reporting. Behind this, RADCOM ADM gives the network data analyst an Integrated Development Environment (IDE)-like workspace to define and deploy datasets, KPIs, and alarms, which each team can then access directly with appropriate permissions.

RADCOM ADM will be generally available to RADCOM ACE customers in the third quarter of 2026 as a licensed module of the RADCOM ACE platform.