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Title

Telefonica runs compressed Llama models on its own infrastructure for AI agent-assist for over 8,000 customer-service agents

derived · high

…ca Scales AI-Powered Customer Support While Cutting Infrastructure Costs by 72% How Multiverse Computing helped Telefonica bring efficient, on-premises AI agent-assist to over 8,000 customer-service agents. Client Telefonica Use case AI Agent-Assist for Customer Service Contact Centers…

…onica Use case AI Agent-Assist for Customer Service Contact Centers. Model used Llama 3.1 8B and Llama 3.3 70B, compressed and optimized by Multiverse Computing. Share Telefonica, a leading global telecommunications operator serving more tha…

Company

Telefonica

quote · high

…g efficient, on-premises AI agent-assist to over 8,000 customer-service agents. Client Telefonica Use case AI Agent-Assist for Customer Service Contact Centers. Model used Llama 3.1 8B a…

Region

Europe and Latin America

quote · high

…verse Computing. Share Telefonica, a leading global telecommunications operator serving more than 400 million customers across Europe and Latin America, needed to bring generative AI agent-assist to thousands of customer-service se…

Description

Multiverse Computing built compact models (compressed and optimised Llama 3.1 8B and Llama 3.3 70B) that run entirely on Telefonica's own infrastructure, giving more than 8,000 customer-service agents AI-assisted support as part of the 'Movistar por ti' customer-care initiative. Keeping customer data on the operator's network ruled out external cloud APIs. The full story is gated.

derived · high

…performing AI models that run entirely on Telefonica's own infrastructure, giving more than 8,000 customer-service agents faster, AI-assisted support as part of the company's "Movistar por ti" initiative. The Challenge Telef…

…ge language models were too costly and resource-intensive to run at that scale. Keeping customer data on the operator's own network ruled out sending it to external cloud APIs, and running ful…

…Telefonica to small pilots instead of full production deployment. Out Solution Read the full story Add your email to unlock all the content Business Email * By continuing, you agree to Multiverse Computing's Terms…

Industry

Telecommunications

classification · high

…ma 3.3 70B, compressed and optimized by Multiverse Computing. Share Telefonica, a leading global telecommunications operator serving more than 400 million customers across Europe and Latin America, needed to bring generative AI agent-assist to…

Problem

Telefonica wanted to scale generative AI agent-assist across thousands of contact-centre seats as part of its "Movistar por ti" customer-care initiative, but frontier large language models were too costly and resource-intensive at that scale. Keeping customer data on its own network ruled out external cloud APIs, and running full-sized models on-premises would have required infrastructure investment beyond what the rollout could justify, limiting it to small pilots.

derived · high

…pport as part of the company's "Movistar por ti" initiative. The Challenge Telefonica wanted to scale generative AI agent-assist across thousands of contact-centre seats as part of its "Movistar por ti" customer-care initiative, but frontier large language models were too costly and resource-intensive to r…

…he operator's own network ruled out sending it to external cloud APIs, and running full-sized models on-premises would have required infrastructure investment far beyond what the rollout could justify, limiting Telefonica to small pilots instead of full production deployment. Out…

…e required infrastructure investment far beyond what the rollout could justify, limiting Telefonica to small pilots instead of full production deployment. Out Solution Read the full story Add your email to unlock all the content Busi…

Solution

Multiverse Computing built compact models, compressed and optimised versions of Llama 3.1 8B and Llama 3.3 70B, that run entirely on Telefonica's own infrastructure and give more than 8,000 customer-service agents faster, AI-assisted support. The rest of the story is gated and not visible.

derived · high

…onica Use case AI Agent-Assist for Customer Service Contact Centers. Model used Llama 3.1 8B and Llama 3.3 70B, compressed and optimized by Multiverse Computing. Share Telefonica, a leading global telecommunications operator serving more tha…

…performing AI models that run entirely on Telefonica's own infrastructure, giving more than 8,000 customer-service agents faster, AI-assisted support as part of the company's "Movistar por ti" initiative. The Challenge Telef…

…Telefonica to small pilots instead of full production deployment. Out Solution Read the full story Add your email to unlock all the content Business Email * By continuing, you agree to Multiverse Computing's Terms…

Business value

The page headline says the work cuts infrastructure costs by 72%, but the visible text does not explain how that figure was measured; the full story is gated. The visible summary states that more than 8,000 customer-service agents are given AI-assisted support.

derived · high

Telefonica Scales AI-Powered Customer Support While Cutting Infrastructure Costs by 72% 🎁 1st month free for new CompactifAI API users: frontier-class AI at a fractio…

…performing AI models that run entirely on Telefonica's own infrastructure, giving more than 8,000 customer-service agents faster, AI-assisted support as part of the company's "Movistar por ti" initiative. The Challenge Telef…

AI capabilities

Generative AI

classification · high

…ving more than 400 million customers across Europe and Latin America, needed to bring generative AI agent-assist to thousands of customer-service seats without compromising data sovereignty or driving up costs. Multiverse Computing…

Technology

Llama 3.1 8B, Llama 3.3 70B

classification · high

…onica Use case AI Agent-Assist for Customer Service Contact Centers. Model used Llama 3.1 8B and Llama 3.3 70B, compressed and optimized by Multiverse Computing. Share Telefonica, a leading global telecommunications operator serving more tha…

Deployment model

On-premises

classification · high

…ca Scales AI-Powered Customer Support While Cutting Infrastructure Costs by 72% How Multiverse Computing helped Telefonica bring efficient, on-premises AI agent-assist to over 8,000 customer-service agents. Client Telefonica Use case AI Agent-Assist for Customer Service Contact Centers…

Deployment options

On-premise

classification · high

…ca Scales AI-Powered Customer Support While Cutting Infrastructure Costs by 72% How Multiverse Computing helped Telefonica bring efficient, on-premises AI agent-assist to over 8,000 customer-service agents. Client Telefonica Use case AI Agent-Assist for Customer Service Contact Centers…

Headline outcome

derived · high

Telefonica Scales AI-Powered Customer Support While Cutting Infrastructure Costs by 72% 🎁 1st month free for new CompactifAI API users: frontier-class AI at a fractio…

Use case type

Conversational assistant

classification · medium

…emises AI agent-assist to over 8,000 customer-service agents. Client Telefonica Use case AI Agent-Assist for Customer Service Contact Centers. Model used Llama 3.1 8B and Llama 3.3 70B, compressed and optimized by Multiver…

Capture details

Captured: 25 Oct 2026, 06:06 UTC
Extractor: fetch-strip@1
Snapshot hash: 830fb4400419acc33e0e2420257b418ce2e721d6d88f03a8757faac2a0534d80

Live source Back to use case