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RADCOM AIM

radcom.com

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Spec score 6.5 #16 of 19 in AIOps Platforms

What it is

RADCOM AIM provides AI-driven analytics for automated assurance in telecommunications networks. It works with RADCOM ACE or legacy assurance solutions and can support zero-touch automation with RADCOM NWDAF. The product detects anomalies across hundreds of KPIs and KQIs, issues early warnings, automates root-cause analysis, and supplies predictive analytics for network performance and capacity planning. After deployment, it learns baseline network behavior and creates thresholds without operator configuration. Operators can select preferred models for each use case, use internally developed AI models, and provide feedback that improves automated insights. AIM combines unsupervised and supervised machine learning, with analysis streamed in real time. RADCOM describes its products as containerized cloud-native functions supporting Kubernetes lifecycle management and public clouds including AWS, Microsoft Azure, and Rakuten Symphony. A ServiceNow partnership connects service management with service assurance and supports automated ticket resolution. Deployment is hybrid with full-stack telemetry. Pricing is available on request.

Spec sheet

Purpose
RADCOM AIM provides AI-driven analytics for automated assurance with RADCOM ACE or legacy assurance solutions, and can enable zero-touch automation with RADCOM NWDAF.Read 5 Oct 2026 · radcom.com
Intended users
RADCOM describes AIM’s use cases as telco-specific and presents it for operators managing network operations.Read 5 Oct 2026 · radcom.com
Headquarters
Tel Aviv, IsraelRead 28 Sep 2026 · radcom.com
Founded
1991Read 28 Sep 2026 · radcom.com
AI models
Operators can use internally developed AI models, choose preferred models for each use case, and provide feedback that AIM uses to improve automated insights.Read 5 Oct 2026 · radcom.com
Anomaly detection
It detects anomalies across hundreds of KPIs and KQIs and provides early warnings.Read 5 Oct 2026 · radcom.com
Automatic thresholds
After deployment on a network, AIM learns baseline behavior and automatically creates thresholds without operator configuration.Read 5 Oct 2026 · radcom.com
Demo and inquiry support
RADCOM's contact page invites visitors to request a demo or submit questions through its contact form.Read 4 Oct 2026 · radcom.com
Deployment ecosystem
RADCOM says its products are containerized, integrate with public clouds including AWS, Microsoft Azure, and Rakuten Symphony, and support Kubernetes flavors for lifecycle management.Read 4 Oct 2026 · radcom.com
Machine learning
RADCOM says AIM combines unsupervised and supervised machine learning.Read 5 Oct 2026 · radcom.com
Model flexibility
Operators can use internally developed AI models, choose preferred models for each use case, and give feedback that the product learns from.Read 4 Oct 2026 · radcom.com
Network planning
Listed use cases include network performance optimization and capacity planning.Read 5 Oct 2026 · radcom.com
Predictive analytics
The product provides predictive analytics for network performance and capacity planning.Read 4 Oct 2026 · radcom.com
Product environment
RADCOM says its products are containerized cloud-native functions, support Kubernetes, and integrate with public clouds including Amazon AWS, Microsoft Azure, and Rakuten Symphony.Read 5 Oct 2026 · radcom.com
Real-time analysis
AIM analyzes and streams resulting insights in real time.Read 5 Oct 2026 · radcom.com
Root cause analysis
It automates root cause analysis and performs predictive analytics.Read 5 Oct 2026 · radcom.com
ServiceNow integration
RADCOM describes a ServiceNow partnership that integrates service management and service assurance and supports automated ticket resolution.Read 4 Oct 2026 · radcom.com

Strong points and limits

Strong points

  • Anomaly detection across hundreds of KPIs
  • Automated root-cause analysis
  • Predictive capacity planning
  • Real-time streamed insights
  • Kubernetes and public-cloud support

Limits

  • Pricing available only on request
  • Focused on telecommunications use cases
  • Requires deployment into a network environment

Who it suits

RADCOM AIM is intended for network operators and telco teams responsible for assurance, performance optimization, capacity planning, and automated remediation.

Verdict

RADCOM AIM combines anomaly detection, adaptive thresholds, machine learning, and workflow automation for telecom assurance. Its hybrid, cloud-native deployment model and ServiceNow connection support operational workflows.

Where Specifiction places it

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