
Real-Time Monitoring and AI/ML Capabilities
Provides real-time monitoring with built-in AI and machine learning engines that support predictive analytics, anomaly detection, and performance optimization.

Centralised Management and Coordination
A centralized approach to managing and coordinating network monitoring activities across the entire infrastructure managed on unified interface, ensuring consistent network oversight.

Virtualisation and Cloud Support
Cloud-ready capability ensures that network performance is optimized even as resources scale dynamically, making it suitable for modern digital infrastructures that demand agility, scalability, and high availability.
LOOKOUTEYES
Lookouteyes Software Suite is designed to provide intuitive, interactive, and highly functional interfaces that empower users to monitor, manage, and optimise network performance effectively.


Lookouteyes – dashboards
Complex data in a clear and actionable format
Anomaly Indicators
Highlights anomalies directly on the visualisations, drawing attention to unusual patterns or potential issues.
API Integration
Supports integration with external data sources, broadening the scope of available performance data.
Custom Alert Filters
Allows users to filter alerts by severity, type, or affected device, helping to prioritise critical issues.
Interactive Network Maps
Shows dynamic maps of the network, illustrating device locations, connections, and health status.
lookout eyes – CHat mu
Chat MU makes platform accessible to both technical and non-technical users with dynamic, responsive, and intelligent interaction
LLM-Powered Conversational Interface
At the core of Chat MU is a large language model (LLM), which powers its ability to understand and generate human-like responses.
Discovery Manager Engine
The Discovery Manager Engine continuously scans the network to identify and map devices, ensuring that all components are accounted for and monitored effectively.
vectorDB for Fast and Relevant Data Retrieval:
Chat MU uses VectorDB, a vector-based database, to efficiently retrieve relevant information from vast amounts of network data. When users ask a question, VectorDB indexes and matches query vectors with stored vectors, ensuring that the most relevant data is pulled quickly.
Retrieval-Augmented Generation (RAG) for Enhanced Insights
RAG combines the power of data retrieval with generative AI, enhancing Chat MU’s ability to provide highly specific, data-backed answers.

Unified and Integrated Network Performance Monitoring Software
Unlock the Future of Network Performance Monitoring