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March 22, 2017

VIDEO: Industrial IoT Software for Manufacturing Optimization by Plataine

Manufacturing in the fields of Aerospace, Automotive, Wind Blades and Industrial Manufacturing is complex as product variation and manufacturing volumes continually increase.

Plataine’s cloud-based manufacturing optimization software provides revolutionary Digital Assistants that empower your staff to make optimized decisions on time, every time.

Plataine’s solution uses sensors to constantly collect data from each stage on the factory floor, tracking tools, parts and material, to provide complete traceability of the Digital Thread from raw material to end product.

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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.

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.

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.