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Kenmei Agentic Network Platform

by KENMEI

Telco-native intelligence that works with your data to analyze, decide and act. Faster.

Kenmei Agentic Network Platform is a telco-native intelligence solution designed to work seamlessly with your data through AI agents deployed using AI Foundry . Agents can be orchestrated as end-to-end journeys, enabling telecommunications providers to analyze, decide, and act with unparalleled speed and precision across RAN, Core, and Transport domains.

Each Kenmei Ai agent deployed within is goal-oriented: one may analyze performance deviations, another troubleshoot root causes, while others optimize planning, capacity, or user experience. Together, they form a coordinated system that turns fragmented network data into timely, contextual actions.

The platform is built for interoperability: Kenmei agents can securely communicate and collaborate with external agents outside the platform using Model Context Protocol (MCP), enabling open, extensible, and ecosystem-driven automation.

Kenmei-deployed agents rely on the Kenmei Unified Data Framework, hosted on the Microsoft Cloud using technologies such as Microsoft Fabric. This telco-grade data fabric is a multi-layer, centralized data processing framework designed to ingest, integrate, and correlate raw and processed data from diverse network sources across RAN, Core, and Transport domains.

Built on an open architecture, the framework decodes, processes, and enriches network data, unifying information from multiple vendors and technologies into a single, comprehensive data catalog. This trusted, context-rich data foundation enables advanced analytics and accelerates digital transformation by delivering a holistic view of network performance and operational efficiency.

By grounding AI agents in a unified and governed Telco data fabric, Kenmei enables agents to develop a deeper understanding of the network, significantly reducing hallucinations and improving the accuracy, reliability, and confidence of autonomous decisions.

At a glance

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