Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Selector transforms complex, fragmented operational data into actionable intelligence with advanced AI and machine learning. That platform ingests and unifies logs, metrics, events, and configuration data from virtually any source across hybrid, multi cloud, and on premises environments into a single, correlated view. This eliminates the need for multiple point tools, reduces operational silos, and gives IT operations teams single pane real time visibility into their entire infrastructure.
At the core of Selector are three powerful capabilities designed to simplify and accelerate network and infrastructure operations. Selectors Network Language Model (NLM) and Copilot allow teams to interact with their environments using natural language, querying telemetry and historical data directly through Slack, Teams, API, or directly in the Selector UI. Correlation and Root Cause Analysis (RCA) automatically connects metrics, logs, and events to identify patterns, reduce alert noise, and pinpoint the true source of incidents, dramatically reducing mean time to resolution (MTTR). Meanwhile, Digital Twin modeling creates a dynamic, topology aware map of networks and infrastructure, enabling IT teams to visualize dependencies, anticipate risks, and make data driven decisions for capacity planning and performance optimization.
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By combining conversational AI, automated ML driven correlation, and predictive modeling, Selector empowers IT teams to move from reactive firefighting to proactive operations. Teams can identify anomalies earlier, resolve incidents faster, and even prevent outages before they occur. Whether deployed on premises, in the cloud, or delivered as SaaS, Selector seamlessly integrates with existing ITSM, SIEM, and automation platforms including ServiceNow, Jira, Splunk, and PagerDuty so users can ensure greater uptime, improve service reliability, and simplify network operations at scale.
Highlights
Highlighted by the publisher on AWS Marketplace.
Accelerate Incident Detection and Resolution: Selector automatically correlates logs, metrics, and events to isolate the root cause of incidents. By reducing alert noise and streamlining investigations, IT teams resolve issues faster and minimize customer impact, dramatically improving mean time to resolution (MTTR).
Optimize Network and Infrastructure Performance: With its real-time Digital Twin, Selector continuously models network and infrastructure topology to reveal hidden dependencies and bottlenecks. Teams can plan capacity, balance workloads, and improve resource utilization, driving higher operational efficiency and service reliability.
Bring Real Time Insights into Your Daily Workflow. Selectors Network Language Model and Copilot allows IT teams to query telemetry, incidents, and trends in natural language directly from Slack, Teams, or API. This intuitive AI powered experience reduces tool sprawl, speeds up troubleshooting, and streamlines day to day operations.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Plans and pricing as listed
2 listed- Units
- Units
Refund terms
As stated by the publisher on AWS Marketplace.
This is customer dependent based on negotiated contract, we will have termination of convenience terms.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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