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RADCOM AIM

#18 of 19 in AIOps Platforms

RADCOM AIM: Specialized telecom AIOps for anomaly detection, root-cause analysis, and automation. Ranked #18 of 19 in AIOps Platforms by our editors (7.1/10); pricing: Pricing on request; best for telecom network AIOps.

7.1/10Editor score
RADCOM AIM7.1 Visit RADCOM

At a glance

  • Editor score
    7.1 / 10
  • Pricing
    Pricing on request
  • Best for
    Telecom network AIOps
  • Automated remediation
    Yes
  • Founded
    1991 · Tel Aviv, Israel
  • Facts checked
    20 Sep 2026
RADCOM AIM screenshot
  • Where it wins

    • Real-time anomaly detection with automatic baselines and thresholds
    • Automated root-cause analysis across telecom network data
    • Zero-touch automation through RADCOM NWDAF
  • Where it doesn't

    • Pricing requires sales engagement rather than self-serve purchase
    • Focused on telecom operators and network operations use cases
    • Broader deployment may depend on existing assurance systems

Our verdict on RADCOM AIM

RADCOM AIM is an AI and machine-learning analytics module for telecom operators running mobile and fixed networks. It is designed for engineering and network operations teams that need real-time visibility into network behavior, KPI and KQI monitoring, anomaly detection, and operational insight. Its telecom focus is clear: the documented use cases center on network assurance, performance optimization, capacity planning, and automated operational response rather than general-purpose IT operations.

The standout capability is its combination of automatic baseline learning, threshold creation, anomaly detection, and automated root-cause analysis. AIM analyzes network data in real time and adds predictive analytics and forecasting for capacity planning and performance management. This gives telecom teams a connected path from identifying unusual behavior to investigating likely causes and planning future network needs. Full-stack telemetry coverage, workflow automation, auto-remediation, and hybrid deployment are also listed as category specifications. Teams looking for telecom-specific network intelligence should find this breadth relevant, while organizations seeking a general AIOps platform may find its scope narrower than needed.

AIM fits most naturally into an established telecom assurance environment. It works with RADCOM ACE or legacy assurance solutions and integrates with RADCOM NWDAF, ServiceNow, Amazon AWS, Microsoft Azure, Rakuten Symphony, and Kubernetes. Zero-touch automation is supported through RADCOM NWDAF, extending the product beyond monitoring into operational workflows. Commercially, the published model describes a fixed annual or multi-year subscription obtained through sales engagement. Telecom operators with complex network assurance requirements should consider RADCOM AIM; teams without telecom-specific needs or without a compatible assurance context should look elsewhere.

RADCOM AIM pricing

Plans Pricing on request No free plan — trial or paid only. Prices checked 20 Sep 2026.
See plans on radcom.com

RADCOM AIM fact sheet

Free planNot verified
Paid fromNot verified
Root-cause analysisYes
Automated remediationYes
Telemetry coverageFull-stack
Deployment modelHybrid
Data retentionNot verified
Workflow automationYes
DeploymentCloud, Self-hosted
SupportEmail, Phone
Built forEnterprise (editorial estimate)
Integrations8 integrations: RADCOM ACE, legacy assurance solutions, RADCOM NWDAF, ServiceNow, Amazon AWS, Microsoft Azure …
PricingPricing on request
Websiteradcom.com
Facts checked20 Sep 2026

RADCOM AIM integrations

RADCOM AIM lists 8 integrations on its own site.

  • RADCOM ACE
  • legacy assurance solutions
  • RADCOM NWDAF
  • ServiceNow
  • Amazon AWS
  • Microsoft Azure
  • Rakuten Symphony
  • Kubernetes

Alternatives to RADCOM AIM

See all RADCOM AIM alternatives →

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Featured on iTechGuides

Featured on iTechGuides — RADCOM AIM 7.1/10

RADCOM AIM is listed in our AIOps Platforms directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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