How Deutsche Telekom Scaled an Enterprise Multi-Agent Platform with Qdrant, Powering 2M+ Conversations

Deutsche Telekom’s AI Competence Center (AICC) had a critical challenge: how do you efficiently and scalably deploy AI-powered assistants across a vast enterprise ecosystem?

The goal was to deploy GenAI for customer sales and service operations to resolve customer queries faster across the 10 countries where Deutsche Telekom operates in Europe.

In this Vector Space talk, Thierry from Qdrant and Arun from Deutsche Telekom talk about the key requirements for scaling enterprise AI agents, key AI stack considerations, and how the team built a Platform as a Service (PaaS) - LMOS (Language Models Operating System) — a multi-agent PaaS designed for high scalability and modular AI agent deployment.

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Learn how Telekom's LMOS with Qdrant processes over 2 million conversations across three countries, and decreased the time required to develop a new agent from 15 days to just 2.