Model your network for greater clarity, control, and foresight
Today’s networks are increasingly complex, integrating multi-vendor devices, diverse functions, and varied use cases that create operational challenges and risks. Managing such environments without predictive insights limits agility and increases costs. By creating a digital representation of the network, organizations gain the ability to monitor, analyze, and simulate their environments in real time, reducing uncertainty, optimizing resources, and enabling safer, more efficient operations.
- Reduced planning and optimization cycles
- Lower OpEx and CapEx through predictive management
- Improved service quality and QoE
- Faster launch of new revenue-generating services
- Greater operational efficiency and resilience
Network digital twin for intelligent operations
Our Network Digital Twin solution models any network, physical, virtual, or hybrid, providing an intelligent environment to monitor, analyze, and simulate operations. With ML and generative AI at its core, the solution predicts potential anomalies, validates network changes before implementation, and empowers organizations with actionable insights.
This proactive approach minimizes risk, ensures operational continuity, and accelerates service deployment. Built on a network-agnostic framework, it supports telco, enterprise, and private networks, adapting seamlessly to evolving requirements.
Gain Extensive Visibility
- Monitor end-to-end network behavior and performance, adapting the level of detail depending on operational needs to support faster, more confident decisions.
Simulate with Confidence
- Validate parameter changes, network updates, and service deployments in a risk-free environment before rollout, accelerating time-to-market and minimizing disruption.
Predict & Prevent
- Use AI-driven modeling to forecast anomalies or performance issues in advance, reducing downtime, protecting SLAs, and ensuring service continuity.
Enable Zero-Touch Networking
- Introduce autonomous, closed-loop automation capabilities that minimize manual intervention and enable intelligent, proactive workflows.
Accelerate Service Deployment
- Design and validate new services and network slices (e.g., 5G, IoT, URLLC) at scale, ensuring quality and faster time-to-market for revenue-generating offerings.
Optimize Resources
- Identify underutilized or stressed functions, predict the impact of hardware additions or removals, and reduce costs through smarter resource allocation.
Strengthen Resilience
- Simulate extreme conditions such as traffic surges or disaster scenarios to assess network behavior, predict potential failures, and improve recovery strategies.
AI-Enhanced Management
- With ML, generative AI, and LLM-based interfaces, operators gain intuitive natural language interactions and intelligent recommendations for complex tasks.
Future-Ready Framework
- Built on a network-agnostic foundation that supports telecom-grade, enterprise, and private networks, adapting seamlessly to evolving technologies and customer needs.
- Network Orchestration & Automation
Network Orchestration & Automation
Odine’s approach brings simplicity to complexity by unifying physical infrastructure, VNFs, and CNFs under one intelligent framework. Operations are automated and streamlined, reducing manual effort while enhancing agility and control.
- AI-Powered Network Orchestration Platform
AI-Powered Network Orchestration Platform
Orchestrate your network with ML and generative AI, with the ability to build your ML models for your use cases.
- AI-Driven Prediction & Optimization Platform
AI-Driven Prediction & Optimization Platform
Unified data streams, providing both the clarity to understand current performance and the foresight to anticipate future outcomes.
- AI-Based Telco Cloud Assurance
AI-Based Telco Cloud Assurance
AI-Based Telco Cloud Assurance is designed to simplify root cause analysis and debugging in complex telco-cloud environments.
- Intelligent RAN Steering
Intelligent RAN Steering
Intelligent RAN Steering offers a data-driven approach to Public Land Mobile Network (PLMN) steering, moving beyond static, manual methods to an automated, intelligent solution.
- AI-Based Document Analyzer and Conversational Gen-AI Platform
AI-Based Document Analyzer and Conversational Gen-AI Platform
Hybrid AI platform that processes sensitive documents entirely on-premises, securely replicates only approved content to the private cloud, and unites an AI Document Analyzer (RAG) with a Conversational AI Chatbot.