Turn your factory into an
adaptive production power house

FactoryOS delivers a completely new approach to manufacturing.

Because it tightly connects manufacturing hardware and software, it streamlines previously manual trial-and-error and highly specialized routine tasks, reducing the need for extended operator training or machine testing time.

Our approach


Integrated on a single platform, FactoryOS breaks down the silos between manufacturing processes, allowing them to inform each other. Production becomes agile and adaptive. AI algorithms uncover efficiency patterns from real factory data and apply them to process planning and real-time optimization.

The factory operating system offers a critical capability set…

  • A holistic solution for managing, programming, and monitoring your complete facility
  • An integrated AI engine to quickly manage change in complex systems
  • Manufacturing expertise generated from production data, enabling informed decision-making

That supports smart manufacturing objectives

  • High mix, short runs, or batch-size-of-one processing
  • Multipurpose facilities that quickly adapt to new demand
  • Increased productivity and flexibility

AI-Driven Factory

Insight, Automate and Control

Analyzes data from across the factory to inspect, warn, predict and control any aspect of the production process, allowing it to intelligently optimize and re-engineer the production workflow.

Adaptive Targeting

Evaluates complex tradeoffs to identify the optimal match between order requirements and machine or facility capability. Leverages real-time input to dynamically replan when faced with changes or new priorities.

Human-AI Partnership

Rapid analysis of large quantities of data provides new recommendations to human decision-makers. Mundane and routine tasks are handled 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.

Order Management

ERP Integration

Easy integration with common ERP systems, enabling the platform to consume product and order requirements without rework or duplicate entry.

Common CAD Import

CAD data from all major file formats and all main mesh formats can be ingested, and versioning history is maintained for traceability.

Costing Improvements

Closed-loop data coming back from the production process continuously improves costing model accuracy.

Order Tracking and Reporting

Centralizes all part design and manufacturing data for ease of tracking, reporting, reordering and recall.

Automated Quoting Tools

Powerful recommendation engine enables non-expert users to own the quoting process and drive informed price/quality tradeoff decisions.

Part-level Digital Thread

Individual tracking of each part in an order creates a data-rich digital thread for every single product produced.


Design Enhancement Reports

Automatically generated design enhancement reports provide suggestions for reducing cost and improving quality based on actual historical production data.

Automated Analysis and Repair

Powerful automatic analysis and repair functionality for both solids and meshes streamlines the fabrication process by reducing time-consuming manual review.

Real-Time Process Simulation

Real-time simulation of the current state of production provides the opportunity to make in situ adjustments or even replan for optimal output.

Process Preparation

Optimal process configurations based on design and machine parameters are suggested, and machine instructions are automatically generated for the selection.

Multi-Machine and Process Linking

Fabrication processes can be optimized across different machines and methods to speed production and maximize machine utilization.

Generative Design Improvement

Built-in generative design tools suggest geometry adjustments that reduce manufacturing cost and/or improve part performance.

Automatic Feasibility Assessments

Feasibility assessments are performed on every design file, so issues are flagged before a part even begins fabrication.

Post Processing

Automated Workflows

Instructions for post processing workflows are generated automatically from the digital model, reducing planning and programming time.

Single- and Multi-Step

Data is captured and analyzed in each step of post processing, enabling optimized control of subsequent manual and automated processes as well as continuous improvement over time through machine learning.

GD&T Aware

Design intent, such as surface finish and accuracy, are extracted from GD&T data and referenced in all subsequent post processing operations.

Design for Post Processing

Design additions to accommodate post processing needs, such as grippers and tooling, are automatically recommended and generated early in the process.


Rapid Robot Commissioning

Optimal automation paths are planned and simulated on the digital twin maintained by FactoryOS, reducing installation and commissioning time.

Efficient Human Workstations

AI-supported planning of how parts arrive, flow through and exit workstations adapts to changing factory conditions and optimizes for human motion economy.

Digital Instructions

Assembly instructions are automatically generated from the digital file, updated if the design changes, and pushed to the assigned workstation.


Real-Time Process

Alerts are immediately generated when real-time quality data indicates out-of-spec tolerances so production issues can be addressed quickly.

Active Part Inspection

AI-based inspection has the speed and capacity to review every part on the line, capturing subtle defects that humans or statistical sampling might miss.

History Capture

A full history of each individually tested item creates a digital thread that enables traceability and manufacturing debugging.

Low-Cost Stations

Advanced algorithms built into FactoryOS allow the creation of cost-effective state-of-the-art inspection workstations.


Optimal Multi-Step Flow Planning

Movement of parts through multiple stages of production is optimized for time and resource efficiency, and adaptively replanned as needed.

Pull-Based Logistics

Demand and delivery times are predicted based on history and current factory status. Inventory is optimally ordered and routed from the warehouse to the line.

Packing, Shipping and Tracking

Instructions for packing and shipping are centrally managed along with production data, adapting or alerting to changed timelines to support customer requirements and communications.

AGV Planning and Control

AGV path planning and vehicle control are automatically generated in real time from the operating system, facilitating rapid development and change.

Industrial IOT

Multi-Source Collection

Allows real-time data to be collected from sensors located anywhere in the factory, on any machine, and in any manufacturing process, including manual processes and devices.

Data Aggregation

Structures and maintains large amounts of factory data from various sources to enable part tracking, factory performance reporting and AI-driven analysis and insights.

Real-Time Dashboards

Provides real-time status of production, utilization, performance and asset maintenance information, ensuring transparency for all stakeholders.

Digital Twin

Continuous Synching

Constant data flow keeps digital twin models continuously in synch with the physical counterpart, ensuring real-time availability and accuracy.

Adaptive Simulation

Both historic and immediate factory data are leveraged to determine the most optimal plan under dynamic conditions and in real time.

Virtual Commissioning

Scenarios are tested to identify and resolve issues digitally and to optimize and verify solutions before implementing them, greatly reducing engineering overhead and downtime.

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