Products • Digital Twin
Visualize. Model. Optimize.
In Real Time
Visualize, model, and optimize your network in real-time, powered by AI-driven predictive analytics and enriched telemetry.
A Living, Breathing Map of Your Network
Selector Digital Twin continuously builds and maintains a model of your network and infrastructure stack, ensuring you always have accurate, timely visibility into operations. Harness continuously updated topology maps, enriched with real-time data from every level of the network and application stack.
Network DVR: Your Ops Time Machine
Step back in time to replay past events and visualize network conditions as they occurred with Digital Twin’s historical playback capabilities. This enables powerful post-incident analysis and continuous learning from past behavior.
- Historical time slider with interactive topology view
- Visual playback of device state, alerts, and telemetry over time
- Diagnose and prevent repeat issues with timeline-based RCA
Stress-Test the Future Without Breaking a Thing
Safely evaluate network changes, anticipate potential risks, and enhance resilience without disrupting live operations. Selector empowers teams to stay ahead of issues and support critical business needs.
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Stress testing, disaster recovery (DR) planning, and infrastructure resilience preparation
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Capacity planning to ensure resources meet future demand without overprovisioning
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Modeling the impact of planned infrastructure changes across domains before implementation
Predict Tomorrow’s Needs, Today
Leverage historical trends and advanced AI analytics for precise capacity forecasting and optimized resource allocation.
AI-driven demand forecasting and capacity modeling to avoid over- or under-provisioning
Historical trend analysis to support long-term infrastructure planning
Resource optimization recommendations to improve service delivery and cost efficiency
One Problem, One View. Across Every Domain
Gain comprehensive visibility into complex interdependencies across your infrastructure, services, and applications. Quickly visualize how issues propagate throughout your network.
Real-time contextual correlation across devices, location, services, and applications
Integrated RCA leveraging Selector’s core analytics
Real-time issue tracking and impact assessment
What We Do That Other Tools Can’t
Discover what sets Selector Copilot apart from generic AI tools and traditional observability solutions:
| Capability | Traditional Tools | Selector Digital Twin |
|---|---|---|
| Network Modeling | Static, manual snapshots | Real-time, dynamic, telemetry-driven |
| Scenario Testing | Limited manual simulations | Extensive automated and synthetic testing |
| Predictive Analytics | Basic forecasting | Advanced AI-driven insights |
| Cross-Domain Correlation | Manual and fragmented | Automated, comprehensive correlation |
| User interaction | Complex and technical | Intutive, conversational (Copilot) |
Trusted by Ops Teams Worldwide
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 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
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
