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From 12,000 documents scattered across 5 systems to a living knowledge graph of 8,500 nodes and 23,000 relationships. The measured results of six months adopting TecAce AXKH, which combines Ontology-based RAG, a Multi-Agent pipeline, and Human-in-the-Loop governance.

AI must work even where there is no internet. TecAce On-device combines OTA updates with a hybrid offline/online architecture to deliver up-to-date knowledge anywhere — from factory floors out of signal range to campsites deep in the mountains. In this article, we explore five industry use cases where the TecAce platform can be applied, each illustrated with a concrete scenario. Case 1. An AI Manual Companion for Field Workers Field AI Companion — Factories · Shipyards · Plan

AX Pro Studio 1. Introduction: The Era of 'Expert Augmentation' Beyond the Trust Gap In recent years, enterprises have invested heavily in Generative AI, yet approximately 95% of these projects have failed to deliver tangible results. This failure is attributed to the 'Trust Gap'—the 10% error rate hidden behind 90% accuracy. In high-stakes business environments, uncontrolled AI is a risk, not an asset. TecAce’s AX Pro (Adaptive AI Avatar Agent) shifts the paradigm from 'Re

5 Essential AI Transformation Patterns for Manufacturing Intro: Why Manufacturing Needs AI Transformation Now For owners of small and medium-sized enterprises (SMEs) in manufacturing, AI transformation is no longer a future option but a present-day task. Since the emergence of ChatGPT in late 2022, AI adoption has become a hot topic across all industries, and manufacturing is no exception. However, the reality is that the digitalization level of Korean manufacturing SMEs rem