RADCOM Products
100% subscriber visibility user-plane traffic analyzed per subscriber, with no sampling
Up to 70% lower TCO compared with incumbent assurance deployments
50% faster resolution mean time to resolution cut in half with RADCOM ACE
10-second granularity per-subscriber data from RAN to core
Why a Unified Product Portfolio?
5G networks are cloud-native, distributed, and multi-vendor, and the data they generate is growing faster than any team can review. Too many operators still run a separate tool for each domain, generation, and use case, each with its own version of the truth. The result is blind spots between the RAN and the core, slow root-cause analysis, and assurance costs that rise with every new service.
How RADCOM Products Work Together
RADCOM ACE is the cloud-native assurance platform at the heart of the portfolio. It collects and correlates real-time network data per subscriber, creating one trusted dataset that every RADCOM product works from. As a result, operators replace a patchwork of tools with one platform built for autonomous operations.
Why a Unified Product Portfolio?
VISIBILITY Full-stack, per-subscriber visibility from network connectivity to application quality, including encrypted traffic.
AI
AI embedded across
the stack
automated anomaly detection, root-cause analysis, and predictive analytics, with no thresholds to configure.
OPEN
Open and
interoperable
standards-compliant, vendor-agnostic, and deployable on any cloud, at any scale.
TCO Lower total cost of ownership intelligent filtering, efficient tapping, and flexible deployment models that maximize existing cloud investments.
Trusted by Tier-1 networks across North America, Europe, and Asia-Pacific
RADCOM ACE: The Platform Behind Every Product
RADCOM ACE is the cloud-native, containerized assurance platform that every RADCOM product builds on. It collects real-time data from the RAN to the core across 3G, 4G, and 5G standalone and non-standalone networks, correlates it per subscriber, and lets teams move from a network-wide view down to a single packet. Automated root-cause analysis, anomaly detection, and insight into encrypted video and data traffic support closed-loop assurance, from the lab to full-scale nationwide networks.
Products Built on RADCOM ACE
Six products that build on RADCOM ACE to capture, analyze, and act, all on the same live network data.
RADCOM AIM
Up to 30% higher engineering efficiency | 35% better resource allocation and planning
RADCOM AIM (AI Module) learns baseline network behavior and sets thresholds automatically, so teams don’t have to configure them. It detects anomalies across hundreds of KPIs and KQIs, automates root-cause analysis, and provides early warning and predictive analytics for performance optimization and capacity planning. AIM works with RADCOM ACE or with legacy assurance solutions, and enables zero-touch automation with RADCOM NWDAF.
RADCOM ADM
Any KPI. Any dimension. Any time.
When an unexpected issue appears, the KPIs already in place often aren’t enough to investigate it, and waiting for the vendor to make changes delays resolution. RADCOM Analytics Designer Module (ADM) lets teams adjust existing KPIs or build new KPIs, KQIs, and alarms in minutes, with no coding, so they can investigate the problem and run root-cause analysis straight away. New metrics can draw on any raw data field, be filtered and aggregated at any level of granularity, and be applied to historical data immediately. Built-in cost governance and multi-vendor event normalization keep every metric consistent, and each definition flows across RADCOM AIM and RADCOM Neura from a single source of truth.
RADCOM NWDAF
All 3GPP Rel. 17 and 18 use cases | Three flexible deployment options
RADCOM NWDAF is an open, standards-compliant, and vendor-agnostic network data analytics function. It supports every use case defined in 3GPP Releases 17 and 18, plus extended use cases such as predicted coverage QoE impact, mass call event optimization, and automated disaster recovery. Fully containerized and integrated with the Network Repository Function (NRF), it can also be deployed as a RAN-DAF or MDAF. Powered by RADCOM AIM, it triggers zero-touch corrective actions when anomalies emerge.
RADCOM VIA
Up to 40% less network resource usage | 35% more efficient tapping | 40% savings in engineering labor
RADCOM VIA is a network visibility platform that unifies network packet brokers, subscriber-aware smart aggregation, and centralized management. Designed for virtualized and container-based 5G networks, it delivers intelligent traffic filtering, aggregation, deduplication, and load balancing across physical, virtual, and cloud environments. Patented cTap technology provides resource-efficient containerized tapping, and VIA is pre-integrated with RADCOM ACE for unified visibility and assurance.
RADCOM Neura
Up to 70% lower TCO | 50% faster incident resolution | Over 90% data efficiency with full network visibility
RADCOM Neura is RADCOM’s autonomous AI agent suite, built for operators moving from human-assisted to machine-to-machine network operations. Specialized agents work together to analyze network data, validate subscriber experience, perform root-cause analysis, and start resolution workflows. They take an issue from the moment an anomaly surfaces to a structured incident report with the root cause, contributing factors, and recommended actions. Neura runs natively within RADCOM ACE and connects to OSS, BSS, service management systems, and operator-owned LLMs through open MCP and A2A interfaces. Policy enforcement, interaction logging, and oversight agents keep every autonomous action governed and auditable, and operator data is never used for LLM training.
One Platform, Four Steps to Autonomous Operations
RADCOM ACE runs through every step, so each product works from the same live network data.
Capture RADCOM VIA delivers complete, efficient traffic visibility across every network function and feeds it into RADCOM ACE.
Assure RADCOM ACE correlates RAN, core, and service data per subscriber, with RADCOM REA adding dedicated radio insight.
Analyze RADCOM AIM, RADCOM ADM, and RADCOM NWDAF turn RADCOM ACE data into AI-driven insight, custom KPIs, and closed-loop triggers.
Act RADCOM Neura AI agents, running natively within RADCOM ACE, investigate, resolve, and report on issues, with every action logged and auditable.
RADCOM NetTalk™: Your AI copilot for network insights
RADCOM NetTalk™ delivers instant, context-aware insights on RADCOM products, 3GPP standards, and RADCOM ACE data through simple voice or text prompts. It connects directly to RADCOM Neura, so engineers can access agent-driven insights and understand the actions Neura agents take in real time.
Built to Integrate with the Systems Operators Already Run
RADCOM products are designed to work within the operator’s existing environment. RADCOM ACE and RADCOM Neura deliver real-time, per-subscriber network intelligence directly into OSS, BSS, service management, and customer care systems through open APIs and standards-based A2A and MCP interfaces. The result is one connected view across the network, care, and billing domains, with faster resolution and no disruption to established workflows.
SERVICE MANAGEMENT ServiceNow integration Combines service assurance with service management, using AI and generative AI to automate ticket resolution, reduce average handling time, and save up to 30% of engineering time.
OSS/BSS Connected to OSS and BSS Integrates with OSS, BSS, ITSM, and other operational systems, so automated insights and actions flow across the existing ecosystem.
NETWORK AUTOMATION Ericsson Intelligent Automation Platform Works with Ericsson's Service Management and Orchestration (SMO) platform to support automation across the radio network.
AI ECOSYSTEM Open agent connectivity Makes RADCOM network data and insights available to partner AI agents, such as those from Infosys, over A2A protocols, and to operator-owned LLMs through MCP.
CLOUD Any cloud, any scale Validated on Red Hat OpenShift and deployed on AWS, Google Cloud, and Microsoft Azure, with closed-loop, zero-touch automation that scales with network demand.
