AI in Machinery

Industrial Scientific, a Fortive-owned global leader in gas-detection and safety equipment, deployed SensAI — an AI customer-support agent built on Oracle Cloud Infrastructure using OCI Generative AI (Cohere R+), Generative AI Agents, Autonomous Data Warehouse, Functions, Streaming and APEX — to automate response to roughly 1,200 monthly support tickets. The deployment cut response time from days to minutes, deflected more than 2,230 emails and saved over 185 support hours.

Multiple Chinese manufacturers including Huaxiang Group's flange factory and Taisteel Stainless Steel (Taiyuan Iron & Steel's stainless steel unit) have deployed AI vision systems for inline quality inspection. Huaxiang's flange line achieves 100% online inspection with millisecond-level defect detection, while Taisteel's high-furnace inspection robots patrol steel-making facilities continuously to catch developing faults, reflecting China's broader industrial vision market shift toward data-driven, algorithm-decision production projected to exceed RMB 50 billion by 2028.

Tokuiten Inc. deployed a suction-type AI cherry-tomato harvesting robot at its 2,000 m² Aichi Prefecture greenhouse in 2025 — one of Japan's first commercial cherry-tomato harvesting robots. Harvests ~31 kg/day matching hand-picked quality, operates twice weekly overnight via rail navigation. Developed since 2023 to address Japan's shrinking farming workforce.

GenAI boosts Brückner Maschinenbau’s production efficiency Skip to main content The project at a glance Main challenge: inconsistent and incomplete material master data Brückner faced the common, yet critical, issue of inconsistent and incomplete material master data in R&D and manufacturing. This w

Researchers at Khalifa University of Science and Technology in Abu Dhabi developed and deployed a deep-learning-enabled intelligent robotic system for aeroengine blade surface inspection, achieving 88.2% mAP accuracy and a 4-second-per-blade inspection cycle time as a research prototype for aerospace MRO workflows.

AGIBOT deployed multiple G2 humanoid robots at Longcheer Technology's consumer electronics tablet lines, achieving 310 units per hour throughput, 99%+ success rate, 19-20 second cycle times, 3,000 units per shift, and 140+ hours of cumulative continuous operation with below 4% downtime, after a four-month integration, with AGIBOT planning to scale to 100 robots by Q3 2026 across automotive, semiconductors, and energy industries.

Hexagon partnered with AWS to automate Standard Operating Procedure document digitization using generative AI, achieving above 90% accuracy while significantly reducing manual effort and cost compared to baseline.

Suzano developed VagaLumen platform using Google Cloud Cortex Framework and Gemini Pro 1.0 to transform natural language employee questions into SQL queries on BigQuery. Enables 50,000 employees to access SAP materials data through conversational AI, democratizing data access across the company while reducing manual spreadsheet work and improving data reliability for sustainable materials manageme