VIDEO: MANUFACTURING OPTIMIZATION & COST OF POOR QUALITY

Manufacturing Optimization & Cost of Poor Quality: During the course of production, quality issues are bound to occur, but the real issue is whether they are “nipped in the bud” or whether they will evolve into much bigger problems. Defective parts can easily slip through the full manufacturing process, only to be discovered when it’s too late. Ideally, such discoveries are made before shipping. The Industrial IoT creates massive opportunity while leveraging AI and the Digital Thread we can now reach new levels of Quality, Efficiency and Control.

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High-precision Automotive and Industrial Component Manufacturer Takase Kanagata Selects Plataine to Scale Production Scheduling Across Multi-Plant Operations

JEC, Paris, March 10th – Takase Kanagata (“Takase”), a Japanese precision manufacturing company specializing in mold manufacturing and plastic injection molding for automotive, medical device, semiconductor, and consumer components, has selected Plataine, in collaboration with its Japanese partner Argosy Japan Aerospace Materials, to support its production expansion and 2030 Digital Factory and Industry 4.0 initiatives.

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Holy Technologies Selects Plataine to Scale-Up Smart Production

CAMX, Orlando, Florida — September 9th, 2025 – Holy Technologies, a fast-growing German manufacturer specializing in sustainable and high-performance carbon fiber components, has selected Plataine, a leading provider of AI-based manufacturing optimization solutions, to support its transition into serial production with enhanced scheduling, traceability, and production control.

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Plataine Launches New AI Agents for Manufacturing at JEC 2025

JEC, Paris, March 4th – Plataine is excited to launch its new groundbreaking AI Agents designed to revolutionize manufacturing operations. Unveiled at the upcoming JEC World 2025 event, Plataine’s smart and connected agents optimize decision flows, and deliver real-time, actionable insights that enhance efficiency, supply chain collaboration, resources utilization, and ensure on-time delivery across complex production chains.

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