Our approach breaks down silos and federates telecom inventory data using AI and TM Forum-defined standards (ODA, Canvas, OpenAPI, DT4DI). This unified data fabric enables CSPs to:
Enhance network resilience with predictive AI use cases, such as:
* Network surge prediction and capacity planning for proactive resource allocation
* AI Copilot for complex network operations, enabling automated troubleshooting and planning
* Real-time inventory visibility across physical, virtual, and logical assets—spanning IT, RAN, edge, and AI-driven data centers
Democratize data access by unifying inventory management, allowing CSPs to govern and scale AI-driven insights organization-wide
Innovation & Differentiation
* End-to-End AI-Driven Telecom Stack – Integrates GenAI, geospatial network views, and predictive analytics for a smarter, self-optimizing network
* Open and Standards-Based Architecture – Built on TM Forum best practices to ensure interoperability and future scalability
* AI-Powered Network Inventory Management – Automates resource tracking and optimizes capacity utilization in real time