MIStudio takes the core idea behind TransSECS:

If you can name it, you can control it

…and extends it into a visual, distributed, real-time system for building industrial applications.

But instead of writing code…

You connect blocks.

Think of MIStudio as:

• A canvas of connected components
• Each component has:
  • Inputs (Inports) – what it receives
  • Outputs (Outports) – what it produces
• You wire them together to create behavior

No hidden logic.

No black boxes.

Everything is visible and inspectable.

MIStudio is a drag-and-drop datops platform with visualization, vibe-coding, and connections that lets you build not just flows, but data products and views that can include AI/LLM blocks and easy-to-understand code blocks, including Python blocks with AI/ML libraries included.

It's a full data integration platform.

At runtime, MIStudio is:

• A network of components
• Passing data in real time
• Reacting to events as they happen

Each connection represents:

• A data flow
• A trigger
• Or both

In MIStudio, there is no separation between:

• Data
• Logic
• Integration

They are all part of the same flow.

Example:

• Sensor data arrives via MQTT
• It flows into an SPC block
• Results trigger alerts
• Alerts drive REST or PLC actions

All without writing traditional code.

MIStudio is designed to work across real industrial protocols, including:

• MQTT (pub/sub messaging)
• AMQP (enterprise messaging)
• Zenoh (edge/cloud distributed data)
• OPC UA (industrial interoperability)
• REST / HTTP APIs
• SECS/GEM (semiconductor equipment)

Rather than forcing everything into a single abstraction, MIStudio:

Connects them all together in a unified flow

What’s happening here:

• Data is subscribed from MQTT topics
• Aggregated and processed
• Passed through analytics (SPC)
• Published back out
• Visualized or acted on

Each step is:

• Visible
• Configurable
• Replaceable

Many visual tools optimize for quick demos.

MIStudio is designed for:

• Production systems
• Scalable architectures
• Long-term maintainability

Key differences:

• Strong typing and structured data
• Explicit connections
• Reusable components
• Integration with real protocols and equipment

MIStudio treats AI as just another component in the flow.

You can:

• Send data to an LLM
• Interpret results
• Feed them back into the system
• Combine with rules and heuristics

Example use cases:

• Extracting meaning from documents
• Mapping data points automatically
• Building dynamic control logic
• Assisting operators

You can see:

• What the system does
• How data moves
• Where decisions are made

No reverse engineering required.

No need for:

• Separate ETL tools
• Separate automation engines
• Separate integration layers

It’s all one system.

Deploy anywhere:

• Edge devices
• On-prem systems
• Cloud infrastructure
• Containers / Kubernetes

You get:

• Speed of low-code
• Control of traditional engineering

New capabilities can be added as:

• New components
• New protocols
• New integrations

Without rewriting existing systems.

A useful way to frame it:

Node-RED is a great idea.

MIStudio is what happens when you take that idea seriously for industrial, scalable, real-world systems.

With MIStudio, you can:

• Build complete industrial applications visually
• Integrate any data source or protocol
• Add intelligence, rules, or AI anywhere
• Adapt quickly as requirements change

All while maintaining:

• Structure
• Clarity
• Control

MIStudio is:

• A visual system builder
• A real-time data orchestration platform
• An integration layer across protocols
• A foundation for intelligent automation

Built on the same principle as TransSECS:

If you can connect it, you can control it.

• Getting Started
• What is MIStudio?
• Project Structure
• Create a Project
• Create an Application
• Add Graphics
• Edit Graphic Properties
• Connecting a Data Source to a Graphic
• Using Test Data Sources
• MIStudio Graphics