Artificial intelligence is becoming a practical tool on factory floors, where manufacturers are using it to spot product defects, predict equipment failures, automate repetitive work and optimize production. Combined with robotics, sensors and connected machinery, AI is helping power the shift toward smarter manufacturing often associated with Industry 4.0.
AI in Manufacturing
Autonomous robots interact with one another and learn from their human counterparts; computers are trained to spot even the most minuscule flaws in machines and products, such as wavering pressure conditions in oil wells; and the marriage of AI and IoT devices makes possible predictive maintenance that proactively assesses equipment performance in everything from diamond-tipped titanium cutters to connected meters that monitor safety levels in a smart factory.
From industrial automation and digital twins to computer vision and predictive maintenance, these companies are using AI to change how products are made.
AI in Manufacturing Examples
Top Companies Using AI in Manufacturing
Siemens
IBM
Amazon
Intel
GrayMatter
GE Aerospace
NVIDIA
Headquarters: Munich, Germany
How it’s using AI in manufacturing: Siemens provides the industrial AI and machine learning and edge computing platform that manufacturers use for automation and quality control. In 2026, Procter & Gamble expanded its use of an AI-based visual inspection system across its global manufacturing operations, built on Siemens’ industrial AI and edge computing platform. Siemens also made its Industrial AI Suite generally available on its Industrial Edge platform, letting manufacturers deploy and scale AI models across multiple plant locations to reduce machinery costs and adjust workflows using real-time data.
Headquarters: Austin, Texas
How it’s using AI in manufacturing: Mythic builds analog processing units, or APUs, designed to give robots and drones on factory floors the compute power to interpret sensor data and react to changing conditions in real time. Its compute-in-memory architecture collapses processing and memory into a single plane, which the company says makes its chips about 100 times more energy efficient than industry-standard GPUs. Mythic says its analog chiplets support AI models used in robotics, alongside automotive and defense applications.
Headquarters: New York, New York
How it’s using AI in manufacturing: Pfizer’s global research and development operations support creation of new medicines and vaccines. Manufacturing is one of multiple areas where Pfizer applies AI, aiming to get medicines to patients faster. Its production lines use AI to predict variability before it happens, helping manufacturing teams catch potential issues before they affect output. The company also deployed an AI tool called Intelligence Response and Integrated Solutions, or IRIS, across its pharmaceutical supply chain to strengthen coordination between manufacturing sites and logistics teams.
Headquarters: Santa Clara, California
How it’s using AI in manufacturing: NVIDIA equips manufacturers with NVIDIA Omniverse, a platform for building physics-accurate industrial digital twins that connect virtual planning to real-world production, and NVIDIA RTX visualization technology that lets engineers and designers preview product concepts before they reach the factory floor. Companies such as Krones use Omniverse alongside GPU-accelerated simulation tools to model bottling lines, cutting simulation times from hours to minutes, part of NVIDIA’s push toward an AI-focused factory.
Headquarters: Carson, California
How it’s using AI in manufacturing: GrayMatter Robotics builds Factory SuperIntelligence, an AI platform that powers robotic cells to handle surface finishing tasks such as sanding, grinding, blasting and spraying for aerospace, defense, marine and specialty vehicle manufacturers. Its physics-informed AI models let robots adapt to parts they haven’t seen before without new programming, and the company reports its deployments cut consumable waste by 30 to 50 percent and reduce rework by up to 95 percent.
Headquarters: San Francisco, California
How it’s using AI in manufacturing: Samsara’s portfolio features AI-powered software and hardware solutions that businesses rely on to enhance safety, productivity and sustainability. Samsara Intelligence is the company’s suite of AI offerings that helps manufacturers automate tasks and surface insights for optimizing operations. Built on Samsara Intelligence, its Connected Maintenance system brings inspections, work orders and fault codes into one view so maintenance teams can spot emerging equipment issues and prioritize repairs. Samsara also offers a 360-degree camera built for forklifts and other operator-controlled equipment, giving warehouse and job site teams added visibility to reduce collision risk.
Headquarters: Chicago, Illinois
How it’s using AI in manufacturing: Uptake designs and develops enterprise AI software for asset-intensive industries, including manufacturing. The company’s artificial intelligence combines material, process and equipment data to offer suggestions on how to reduce energy costs, optimize labor and product reliability and improve the operations process as a whole. Its Asset Performance Management application draws on the Asset Strategy Library, a database of equipment types, failure mechanisms and maintenance tasks used across industrial and manufacturing operations. Because of its partnership with Element, Uptake continues to help industrial companies find new ways to turn raw data into actionable insights geared toward efficiency.
Headquarters: San Jose, California
How it’s using AI in manufacturing: Automation Anywhere builds an Agentic Process Automation platform that pairs AI agents with robotic process automation and enterprise governance to run manufacturing workflows such as procurement, supply chain planning and regulatory compliance. According to the compay, Holcim used the platform to raise efficiency by 40 percent across two processes, an improvement equivalent to about seven full-time employees. Mars has deployed hundreds of digital workers built on the platform, saving more than 500,000 hours across its operations.
Headquarters: Milwaukee, Wisconsin
How it’s using AI in manufacturing: Rockwell Automation promotes what it calls “Smart Manufacturing” by using AI to strengthen production systems, cybersecurity and quality control. It’s integrated its FactoryTalk Analytics VisionAI computer vision platform with the Plex Quality Management System, bringing AI-powered visual inspection into quality workflows to help manufacturers catch defects and trace inspection history across camera systems. The company also partnered with Augury to pair industrial AI insights with its Fiix maintenance software, helping manufacturing teams move from detecting equipment issues to planning and executing maintenance actions.
Headquarters: Armonk, New York
How it’s using AI in manufacturing: IBM builds cloud and machine learning tools aimed at cutting production times and costs for manufacturers. Its Maximo Application Suite embeds AI, powered in part by IBM watsonx, directly into maintenance, reliability and planning workflows, letting teams monitor equipment condition, flag failure patterns from sensor data and trigger maintenance actions before breakdowns occur. The suite also applies AI to visual inspection and asset performance management, helping manufacturers catch quality defects earlier, cut inspection false positives and connect asset health data to production outcomes across complex manufacturing operations.
Headquarters: Evendale, Ohio
How it’s using AI in manufacturing: GE Aerospace’s robotics and computer vision teams focus on improving efficiency and safety across jet engine production and maintenance. Its autonomous robotics systems include Sensiworm, a soft robot that moves through the crevices of jet engine parts to detect defects, corrosion and coating wear during on-wing inspections without disassembly.
Headquarters: Santa Clara, California
How it’s using AI in manufacturing: Intel gives businesses an intelligent edge by tying together information, operation and AI technologies. Its Automated Factory Solutions, including Intel Factory Pathfinder and Intel Factory Recon, give manufacturers a real-time view of factory operations to help reduce bottlenecks and downtime. The company’s Manufacturing AI Suite combines machine vision and time-series models for tasks such as weld defect detection and multi-camera inspection, as the organization pushes for Industry 4.0 innovations in manufacturing.
Headquarters: Aurora, Canada
How it’s using AI in manufacturing: Magna International offers solutions to help the auto industry with energy storage, vehicle assembly, lighting, seating and more. It applies AI across its manufacturing operations through vision inspection systems that catch defects during quality control, autonomous mobile robots that move materials safely across factory floors and Smart Sustainability, a machine learning platform that tracks and forecasts plant electricity, water and compressed air use. These tools feed into its Factory of the Future approach, which ties data and robotics together across its global facilities for coordinated scheduling and maintenance.
Headquarters: Palo Alto, California
How it’s using AI in manufacturing: Arch Systems, a remote-first company, provides a manufacturing intelligence platform that pairs a unified factory data foundation with autonomous AI agents, used by manufacturers including Jabil and HARMAN. Its AI Dashboard Vision capability lets AI read existing factory dashboards and machine screens without new integrations, identifying anomalies, explaining likely root causes and recommending corrective actions, then triggering workflows across MES, CMMS and QMS systems. In September 2026, the company secured a $30 million investment from Vistara Growth to expand its agentic AI roadmap for detecting, diagnosing and addressing production issues across factory operations.
