PLATFORM
The Selector Platform
Selector ingests high-volume, high-velocity operational data across networks, infrastructure, and applications, transforming it with AI into real-time insights, root cause clarity, and intelligent automation.
What Powers the Selector Platform
Selector is built for scale, speed, and clarity. The platform is made up of four functional services – each responsible for transforming raw telemetry into real-time, actionable insights. As you scroll, see how each layer contributes to the full picture.
1
Collection Service
Ingest everything, everywhere, all at once
Collection Service
Ingest everything, everywhere, all at once:
- Connects to 300+ telemetry sources – logs, metrics, configs, flow records, SNMP, gNMI, REST, and more
- Pulls from existing systems (like Splunk, NetBox, ThousandEyes) and direct device streams
- Caches and enriches data at the edge for real-time responsiveness
- Supports synthetic agents and passive monitoring with no agents required
2
Data Hypervisor
Normalize and enrich for cross-domain context
Data Hypervisor
Normalize and enrich for cross-domain context:
- Extensible Data Compiler parses and understands schemas from any data source
- Cleans, labels, and transforms operational data – incoming telemetry, configurations, logs, flow, and metadata
- Transforms raw data and prepares it for Al models
3
Knowledge Service
Correlate across layers. Detect what matters.
Knowledge Service
Correlate across layers. Detect what matters:
- Applies clustering, classification, and enrichment to make unstructured data usable
- Ties together logs, metrics, and events into unified operational views
- Feeds enriched data to downstream services for correlation and RCA
- Hosts Selector’s continuously updated Knowledge Graph
- Runs ML-based correlation, anomaly detection, and pattern mining
- Identifies relationships between symptoms and root causes across apps, infra, and network
- Powers alerting, recommendations, and the query engine for RCA
4
Collaboration Service
Deliver insight where your teams work
Collaboration Service
Deliver insight where your teams work:
- Routes insights and RCA into Slack, Teams, and ITSM workflows
- Hosts Selector Copilot – powered by the industry’s first Network Language Model (NLM)
- Supports natural language queries, incident summaries, and interactive investigations
- Delivers context and clarity directly into daily workflows
AI That Understands Your Network
Selector isn’t just collecting and visualizing data – it’s continuously learning from it. Our AI/ML engine is purpose-built for operations, combining unsupervised learning with supervised models for prediction and classification. Together, they power correlation, enrichment, summarization, and foresight across your stack.
1
MLMESH™: The ML Foundation
MLMESH™ leverages both unsupervised learning (for anomaly detection, clustering, and pattern mining) and supervised models (for predictive tasks and clarification) – all running in real time without retraining delays.
Selector’s patented layer for streaming ML. It enables:
- Real-time anomaly detection
- Entity extraction and pattern mining from logs
- Root Cause Analysis
- Forecasting
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Network Language Model (NLM)
Selector’s proprietary LLM is the first of its kind – trained not on public web data, but on operational telemetry from real-world networks and infrastructure.
Selector’s proprietary LLM is the first of its kind – trained not on public web data, but on operational telemetry from real-world networks and infrastructure:
- Copilot’s plain-language queries and RCA summaries
- Alert descriptions and response recommendations
- Natural language search and topology understanding
3
Predictive Intelligence
Selector supports forecasting and anomaly prediction at multiple levels
Selector supports forecasting and anomaly prediction at multiple levels:
- Time series trend prediction (capacity, usage, latency)
- Event frequency and entity-level forecast
- Sequential pattern mining for precursors and cascading failure risks
Correlation & Root Cause Analysis
Go from alert to answer – instantly. Selector connects events, metrics, and logs across every layer of your stack to surface the true root cause with explainable insights.
- Suppress secondary alerts and highlight primary failures
- Link application and infrastructure issues to upstream impact
- Output RCA directly into Slack, Teams, or ITSM tools
- Reduce alert fatigue and accelerate MTTR
Model your environment in real time.
Selector continuously maps your environment to show live dependencies, simulate risk, and visualize service health at every layer.
- Explore live topology maps across physical, virtual, and cloud
- Simulate outages, configuration changes, or failovers
- Plan capacity and understand upstream/downstream impact
- Enable RCA through service-layer modeling
Ask questions. Get answers. Take action.
Selector Copilot uses our domain-specific Network Language Model (NLM) to turn natural language queries into structured, actionable insights.
- Investigate RCA, history, and topology in plain English
- Get impact summaries and remediation steps in chat
- Accessible via Slack, Teams, CLI, or UI
- Backed by Selector’s operational Knowledge Graph
Try our AI for free
Forget Wireshark. Now you can chat with your packets with Selector Packet Copilot.
Powering the Networks That Power the World
Absolutely fantastic company. Their approach to intelligent network monitoring and analytics is unique and refreshing. I can’t recommend them highly enough. I honestly get excited by weekly catch-up calls because of the possibilities.
John Neiberger
Principal Engineer, Comcast
Before Selector, we lacked the end-to-end visibility needed to see what was happening across our applications, infrastructure, and network. Now we have a consolidated view of all critical data sources allowing us to proactively detect and resolve issues faster to keep our services running and our customers happy.
David Iannone
VP of IT Operations, TracFone
Our goal is to keep service up – always. With Selector, we are constantly monitoring availability and performance. If an abnormal condition arises, we take immediate action.
Ammar Musheer
Senior Manager of Infrastructure & Software Cloud Delivery, Bell
Selector provides proactive isolation event detection within the routing domain by correlating a range of packet loss metrics, automatically alerting the on-call engineer with precise location data and actionable insights to expedite troubleshooting. This intelligent approach has significantly reduced Mean Time to Repair (MTTR), enabling engineers to zero in on critical metrics that directly enhance customer experience.
Senior Service Reliability Engineer
Digital Infrastructure Company
Manual monitoring relies on engineers spotting alerts before raising incidents. If an engineer fails to notice an alert, there is a high chance the incident will be missed, along with the opportunity to troubleshoot and restore it promptly. Selector correlation ensures that no incidents are missed.
Senior NOC Service Engineer
Digital Infrastructure Company
Selector has been a significant advancement in our network monitoring, marking a major milestone in automation. Prior to Selector, the incident KPI target was a challenge for our operations team. However, with Selector’s correlation capabilities, the time taken to address incidents has been significantly reduced compared to manual processes.
Senior NOC Service Engineer
Digital Infrastructure Company
Selector is a next-generation tool which provides comprehensive visibility and automation capabilities to integrate with other platforms and products. This reduces the burden on our operations team, allowing us to improve incident and change management processes as well as detection and identification of network issues.
NOC Service Engineer
Digital Infrastructure Company
Selector has significantly enhanced the operations team workflow by improving alert visibility, correlating alerts, and assigning value to them. Also, the implementation of auto-incidents has been pivotal in reducing missed incidents and helping prioritize those that occur most frequently, enabling us to achieve faster response times.
Network Engineer
Digital Infrastructure Company
Selector has provided our operations team with valuable insights and analytics. By analyzing vast amounts of data, Selector can identify patterns, anomalies, and trends, enabling operators to make data-driven decisions and optimize their activities. This has led to improved resource allocation, better capacity planning, and enhanced overall performance
NOC Service Engineering Supervisor
Digital Infrastructure Company
Selector has played a crucial role in automating and streamlining our operations. By leveraging advanced learning algorithms, Selector can proactively detect and resolve incidents, reducing downtime and minimizing the impact on operations. This has resulted in improved system availability and increased productivity.
NOC Service Engineering Supervisor
Digital Infrastructure Company
Selector has revolutionized our operations and greatly enhanced the efficiency of our team. With the implementation of Selector, operators have experienced significant improvements across network monitoring and incident management.
NOC Service Engineering Supervisor
Digital Infrastructure Company
As a next-generation observability tool, Selector Al is designed to work seamlessly across environments and industries, showcasing the transformative power of Al to elevate network resilience, minimize failures, and mitigate human error.
Senior Service Reliability Engineer
Digital Infrastructure Company
