Built on Google Cloud’s Autonomous Network Operations framework and Vertex AI Gemini models, MINDR correlates signals across domains to proactively identify issues and enable autonomous, explainable remediation.

Production releases are planned for later in the year, with first live production in 2026 and initial deployments expanding from Germany to additional European markets such as the Czech Republic and Croatia.

DT and Google Cloud are jointly developing MINDR, a multi-agent AI system for autonomous diagnostics and operations across end-to-end telecom networks, expanding beyond the RAN to transport and core networks.

The collaboration aims for a fully autonomous, self-healing network that uses Gemini models to deliver end-to-end service intelligence and a resilient infrastructure for a superior customer experience.

DT and Google Cloud will showcase MINDR at MWC Barcelona (March 2–5, 2026), including a panel and a live demo at Deutsche Telekom’s booth with livestreams available.

MINDR operates as a collaborative multi-agent framework, with an Agent-to-Agent (A2A) coordination protocol planned to reduce operational complexity, speed response times, and minimize service disruption.

RAN Guardian has autonomously triggered over 100 remediation actions during Christmas market events, contributing to rapid issue resolution and efficiency gains.

The system envisions an A2A-coordinated multi-agent approach, subject to availability, to optimize network operations.

Initial production releases are slated for later this year, with AI-agent announcements anticipated around industry events like MWC, in line with broader industry trends toward Agentic AI.

MINDR builds on the RAN Guardian deployment in Germany, which identified 237,000 events in 2026 and cut major-event management time from hours to about one minute.

A March 3, 2026 discussion at MWC26 hosted by TelecomTV will feature DT and Google Cloud leaders, with a live-stream option for attendees.

Specialized agents collect and correlate network data to provide real-time end-to-end service views, support root-cause analysis, and enable automated remediation across domains to reduce operational complexity and service disruption.