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We provide end-to-end industrial intelligence transformation solutions, empowering enterprises to build their own AI Industrial Brain. Our proprietary deep learning technology autonomously extracts and understands manufacturing defects, eliminating the traditional reliance on manually collected defect samples in machine vision. By enabling on-site, real-time feature data acquisition, we revolutionize quality inspection—capable of identifying complex and undefined defects directly from the production floor. We map the industrial value chain and processes into ontologies, transforming fragmented workflows and expert knowledge into structured physical models. These are stored in graph databases as knowledge graphs, forming the enterprise’s core data assets and enabling interpretable decision forests. By integrating computer vision, natural language processing with intelligent agents, vector databases, and knowledge graph reasoning, we construct a comprehensive machine brain for enterprises. This system supports explainable information retrieval, precise causal inference, and intelligent decision-making—driving the next generation of smart manufacturing.

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Michelle S. is the Founder, CEO of InviBoTech.

1 people are employed at InviBoTech.

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