Network Assure supports a broad range of network domains, from access to core, and across multi-vendor environments. Our prebuilt templates cover wireless, wireline, transport and cloud native networks, giving telecom operators and enterprises consistent AI-driven visibility and assurance regardless of their underlying infrastructure or architecture.

Yes. Network Assure includes closed-loop automation with cognitive feedback, enabling self-healing responses to network issues without manual intervention. When anomalies are detected, the platform can automatically trigger mitigation workflows and provide cognitive suggestions for troubleshooting, reducing human effort while improving resolution speed and network reliability.

We provide a robust library of model-building blocks and prediction algorithms tailored for planning, operations, management and support use cases. Teams can rapidly assemble and customize predictive models using these frameworks, then validate and refine them through our real-time dashboarding toolbox, ensuring models stay accurate and operationally relevant.

With Network Assure's prebuilt templates and model-building frameworks, deployment timelines are significantly shorter than when building from scratch. Our real-time dashboarding toolbox supports continuous model monitoring and iterative refinement, so your predictive models stay sharp, accurate and aligned with evolving network conditions from day one.

Yes. Network Assure includes prebuilt templates across multiple network domains and use cases, covering areas like fault detection, performance management and capacity planning. These templates accelerate time to value, reduce implementation complexity and give teams a proven starting point they can customize to fit their specific network environment and business requirements.

We combine AI-powered event correlation, noise filtering and de-duplication to eliminate false alarms and surface only real, actionable incidents. By detecting anomalies early and triggering automated responses, Network Assure significantly reduces incident volume and mean time to resolution, keeping your operations teams focused on what actually matters.

Absolutely. Network Assure is built to ingest both structured and unstructured data—whether streaming or batch—from the access or core layers. Our augmented data discovery and transformation capabilities extract, classify and load that data into logical categories, giving your teams clear, actionable intelligence from even the most complex data environments.

AUTOBOT is our intelligent technical support capability within Network Assure. It integrates directly with incident, defect and CSR databases to accelerate issue resolution. By surfacing relevant historical data and recommended actions, AUTOBOT helps support teams resolve problems faster and more consistently, reducing escalations and improving overall service quality.

Network Assure reduces unplanned outages, lowers incident volumes and automates routine operations—directly cutting operational costs. On the CAPEX side, predictive analytics inform smarter capacity planning and infrastructure investments. Together, these capabilities help clients get more value from existing assets while avoiding unnecessary spend on reactive fixes.

Network Assure classifies ingested data into logical categories, including traffic, events, topology, interface and configuration data. This structured approach—powered by augmented data discovery and transformation—ensures teams always work with organized, relevant information rather than raw, overwhelming data streams, enabling faster and more confident decision-making across network operations.