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Grupo Jorge · NAIMA
Success story · Grupo Jorge

Grupo Jorge · NAIMA

+5.000
workers trained by an AI
Case summary

NAIMA is an AI agent that delivers corporate training to 5,000+ Grupo Jorge operators in 40+ languages, online or offline.

AI Agents

Client
Grupo Jorge
Sector
Industry 5.0
Service
Operator training
NAIMA is an AI agent that delivers corporate training to 5,000+ Grupo Jorge operators in 40+ languages, online or offline
Grupo Jorge operates 12 production sites with a multilingual workforce working three shifts and exceeding 5,000 operators. Guaranteeing continuous, consistent, traceable training at that scale demands a model capable of adapting to every mother tongue, every shift and every profile. NAIMA answers this challenge: a photorealistic AI agent that delivers corporate training in 40+ languages, accessible from any device, with a built-in exam and an auditable record per person. The project is being developed within the European RISE SME programme, together with Tecnara and Kings Corner.
+40
Languages available
x3
Production sites connected
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01 The challenge

Training an international workforce.

Today's industrial context is marked by geopolitical uncertainty and pressure on the supply chain: shifts rotate, languages multiply and regulations change faster than the classroom. In that scenario, Grupo Jorge faces the challenge of training 5,000+ people spread across 12 production sites, with 7+ mother tongues coexisting on the plant floor across operators, maintenance and offices, on three shifts and with high turnover. The traditional model —TV, presentation and paper— doesn't speak every language, doesn't travel with the worker beyond the classroom and doesn't allow auditing what is learned at scale.

Training an international workforce.
02 The solution

An AI trainer built on two connected pieces.

NAIMA is structured as an end-to-end AI industrial training solution, organised in two connected layers. The first is a content manager where Grupo Jorge builds its own training courses —blocks, avatar voice-overs, video, regulations and exam— in any language and without development. The second is the operator's experience: a downloadable app that works offline, in which the worker chooses a language and learns with a photorealistic avatar that explains, points out and asks questions, with no classroom or in-person trainer. Assessment is built in, with automatic marking and end-to-end auditable traceability per person, language and result.

An AI trainer built on two connected pieces.
Next step
We built an agent that delivers training in 40+ languages. What could we achieve working with your company?
Key learnings

What this case teaches the sector.

01

Multilingual without multiplying the cost

A single authored course can be deployed in 40+ languages with the same quality of voice, brand and content. Internationalising training stops being a project per language and becomes a one-click operational decision, without multiplying cost or time.

02

An AI agent for continuous training

Artificial intelligence applied to industrial training replaces the one-off classroom with a permanent resource: an agent that explains, asks and assesses on the plant floor, in the office or at home, adapted to each operator's shift and profile, without moving trainers or stopping activity.

03

Coverage and traceability as measurable impact

The value of training stops being measured in hours delivered and starts being measured in effective coverage and traceability. Reaching night shifts, branches and new profiles, and being able to audit what each operator has learned, in which language and with what result, is a competitive advantage.

04

Proprietary platform

Behind NAIMA is VEGA Trainer, the studio where Grupo Jorge itself builds its training courses —content blocks, avatar voice-overs, video, regulations and exam— without touching a line of code and in any language. This architectural decision is strategic: the client doesn't depend on the supplier to update content, launch new courses or adapt training to regulatory changes.

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