Semiconductor manufacturing intelligence

The Manufacturing World Model

Zigoraat connects tools, process context, and engineering knowledge into one intelligence layer.

Talk to Engineering See how it works
Isometric semiconductor factory with an intelligence network emerging above physical tools and process lines
Tool-specific context Understand each tool through its own operating history and behavior.
Connected engineering knowledge Keep process conditions, actions, and decisions linked over time.
Fab-wide expansion Focused tool and engineering workflows first, then a connected fab-wide intelligence layer.

Manufacturing knowledge is disconnected from the tools that create it

Critical context is spread across equipment, process history, engineering decisions, documents, and people—especially where every tool behaves differently and every engineering decision matters.

Tool behavior varies

Nominally similar tools develop different histories, conditions, and operating characteristics.

Knowledge is fragmented

Recipes, engineering judgment, maintenance history, and process decisions rarely remain connected.

Understanding does not compound

Teams repeatedly rebuild context instead of learning from previous runs, tools, and decisions.

Conceptual illustration of physical manufacturing systems connected to digital context

What Zigoraat builds today

Zigoraat sits between manufacturing tools and the systems engineers already use—MES, SCADA, and decision workflows—keeping context connected without replacing those systems.

Central factory connected into a coherent manufacturing intelligence model

Vision

The Manufacturing World Model

A connected intelligence layer grounded in tool history, process context, and engineering knowledge.

Entry point

Start focused, then expand

We start with focused tool and engineering workflows, then expand into a connected fab-wide intelligence layer.

Tool-personalized intelligence

Build understanding around each tool’s operating history, conditions, and unique behavior—not only fleet-wide averages.

From One Tool to the Whole Factory

We start with focused tool and engineering workflows, then expand into a connected fab-wide intelligence layer.

Progression from a single manufacturing tool to a complete factory: Tool, Cell, System, Line, Factory
Continuous context Continuous learning Continuous improvement

One connected manufacturing intelligence layer

Built Through Real Manufacturing Engagement

Active university pilot, industry collaborations, research partnerships, and secure deployment development.

  • University Pilot

    Active pilot work applying manufacturing intelligence workflows in a university setting.

  • Industry Collaborations

    Engagements with manufacturing and equipment partners on focused applications.

  • Research Partnerships

    Collaborations developing process-aware manufacturing models with academic and technical partners.

  • Secure Deployment

    Ongoing development for controlled manufacturing environments and secure deployment paths.

Cleanroom corridor used in manufacturing training and research environments
University Pilot
Technician working with precision manufacturing equipment
Industry Collaborations
Industrial facility exterior representing secure deployment environments
Secure Deployment
Explore a Pilot Talk About Your Workflow