AI-Driven Factory

Improve decision-making and optimize workflows using insights from real-time and historical factory data. The FactoryOS AI layer tracks and analyzes information produced across the factory, leveraging it to generate recommendations to increase product quality and factory throughput. Closed-loop data helps AI-driven recommendations keep learning and improving over time.


FactoryOS intelligently pairs product order and design requirements with your hardware capabilities and capacity, recommending the most efficient production instructions and scheduling. It intelligently optimizes and re-engineers your production workflows to maximize quality, reduce production costs, and meet customer expectations.

The FactoryOS AI continuously learns from every new product, process, and production method it experiences—enabling it to develop entirely new methods of operation.

Insight, Automate and Control

Analyzes data from across the factory to inspect, warn, predict and control all aspects of the production process—and intelligently optimize and re-engineer workflows.

Adaptive Targeting

Evaluates complex tradeoffs to identify the best match between order requirements and machine or facility capabilities. Leverages real-time input for dynamic replanning in response to changing conditions or priorities.

Human-AI Partnership

Rapidly analyzes large quantities of data to provide new recommendations to human decision-makers. Handles mundane and routine tasks autonomously, freeing people up for tasks that require human creativity and intuition.

Continuous Learning

Constantly analyzes and learns from real production data, enabling continuous process improvement and the creation of entirely new—and previously impossible—methods of operation.

Ready to learn 

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Interested in more information about how FactoryOS enables AI-driven insights, supporting better decision making and smart manufacturing?