NetOp.Cloud provides an AI-driven network operation platform that automates monitoring, anomaly detection, and troubleshooting across multi-vendor environments. By delivering early warnings and actionable insights, it reduces mean time to resolution (MTTR) by 90% and minimizes alert noise, enhancing overall network performance and reliability.
Funding
$4.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SVFounders
Product
Problem
Modern networks are complex, multi-vendor environments that generate a high volume of alerts, making it difficult for IT teams to identify and resolve critical issues quickly. Existing network monitoring solutions often lack comprehensive visibility and the ability to proactively detect anomalies before they impact users. This leads to increased mean time to resolution (MTTR), alert fatigue, and ultimately, reduced network performance and reliability.
Solution
NetOp.Cloud offers an AI-driven network operation platform that automates network monitoring, anomaly detection, and troubleshooting across diverse, multi-vendor network infrastructures. The platform provides end-to-end network observability, leveraging machine learning to proactively identify and predict network anomalies before they escalate into critical incidents. By correlating data from multiple network sources, NetOp's AIOps solution delivers early warnings and actionable insights, enabling IT teams to resolve issues swiftly and efficiently. The platform's intuitive interface and powerful automation capabilities streamline network configuration and operations, reducing alert noise and minimizing the need for expert-level intervention.
Target Audience
NetOp.Cloud is designed for enterprises and managed service providers (MSPs) seeking to enhance network performance, reduce operational costs, and improve overall network reliability across complex, multi-vendor environments.
Features
- AI-powered anomaly detection identifies deviations from established performance baselines.
- Predictive analytics forecast potential network issues based on historical data and trends.
- Automated root cause analysis accelerates incident triage and resolution.
- Vendor-agnostic monitoring supports diverse network devices and technologies.
- Dynamic topology mapping provides a holistic view of network infrastructure and dependencies.
- Customizable dashboards offer real-time visibility into key performance indicators (KPIs).
- Intent-based networking automates network configuration and policy enforcement.
- Alert noise reduction filters out irrelevant alerts, allowing teams to focus on critical issues.