The Capy Family / CapyX

CAPYX · FACTORY INTELLIGENCE

See where your factory needs attention — before the daily meeting.

CapyX is used by customers

CapyX combines factory data, AI and 3D Digital Twin planning. Explore production simulation, with free initial access for teaching at educational institutions.

CAPYX FOR EDUCATION

Free CapyX access for education during the initial period

RoboCloud offers educational institutions free CapyX access during the initial period for teaching and learning. Students can use the actual system to explore machine data and AI, and practice factory layout and production simulation with Digital Twin.

Request educational access

Contact RoboCloud to arrange access · The button opens an email draft

CAPYX / Start with your factory question

CapyX for machine monitoring, production, OEE and downtime

For production leaders, factory engineers and maintenance teams preparing a shift handover, daily meeting or investigation, when machine status, production output and downtime reasons sit in separate records.

CapyX by RoboCloud helps teams review machine status, production progress, OEE and recorded downtime reasons in one operational context. Available information depends on the signals and records in scope. OEE and AI summaries start an investigation; they do not establish the cause.

Digital Twin images use simulation models and demonstration data, not live customer-factory data. Real machine connections require a signal and equipment assessment.

CAPYX / DIGITAL TWIN

Explore your factory in 3D before changing the shop floor.

Arrange equipment, define routes and task times, then simulate production to inspect queues, work in progress and possible constraints. Compare alternatives using the same assumptions in the CapyX web app.

CapyX Digital Twin showing equipment, workstations and transport routes in a 3D factory layout
See how workstations and transport routes fit together across the layout.Actual product screen · Simulation model and demonstration data · Open full image in a new tab ↗
Actual CapyX Digital Twin screen simulating an AGV carrying a workpiece in front of a CNC machine
Follow an AGV to examine material transport along its configured route.Actual product screen · Simulation model and demonstration data
  1. Build the layout

    Place equipment, conveyors and work areas, then define routes for workers or AGVs.

  2. Simulate and compare

    Set cycle times, queues and arrival intervals to examine output, work in progress and station waiting.

  3. Learn from each change

    Let students adjust one variable, explain the results with data and check their observations against a real use case.

01 / The operational problem

Factory data is everywhere. Context is not.

A stopped machine, a missed production target and a quality issue can sit in different records. Bring the signals together so the team can start with what happened, where it happened and what to check next.

Data and source context

  • PLC
  • Machine
  • Sensor
  • Excel
  • Operator
  • Quality
  • Maintenance
CapyXOperational context

What the team reviews

  • Status
  • Trend
  • OEE
  • Downtime
  • Alert
  • AI Insight
Conceptual workflow · Actual data sources and connections are confirmed for each implementation.

02 / What the user sees

Start with the factory. Follow the issue to the machine.

CapyX — Actual product · Factory 3D and Production Monitor · Demonstration data
Actual product · Factory 3D and Production Monitor · Demonstration dataOpen full image (new tab) ↗
01

Digital Twin / Production Simulation

Arrange a 3D factory layout and compare production-flow scenarios using modeled inputs. Review the assumptions against shop-floor conditions before applying a plan.

02

Machine Monitoring

Locate running and stopped equipment in the factory view before asking for an update.

03

Production Monitoring

Compare production progress with the plan and see where the next conversation belongs.

04

OEE & Downtime

Read effectiveness alongside recorded downtime reasons. An OEE number starts the investigation; it does not explain it alone.

05

Quality / Abnormal Conditions

Bring quality and machine-condition signals into the same operational discussion.

06

AI Operational Insights

Use an assisted summary to choose which events and underlying records to review first.

03 / The role of AI

A clearer starting point for the next decision.

Industrial AI helps summarize recorded events and surface conditions for engineering review. Its usefulness depends on available signals, reliable timestamps and the production context configured with your team.

What AI does not do

AI does not establish the root cause or autonomously control a machine. Engineers verify the evidence and decide the response. This example does not imply every machine has vibration sensing or baseline analysis configured.

04 / Fit with existing systems

Start with the operation you already have.

Begin with the machine signals and production records already available. CapyX's current configuration maps signals through an IoT edge device or gateway; it does not write directly into a PLC. The engineering assessment confirms the signal path, equipment compatibility and data scope before connection.

What should we assess before connecting a machine to CapyX?

Start with one machine or production line and a defined question. Review these points with engineering and agree acceptance evidence before installation. This is an assessment checklist, not confirmation that every input is already supported.

  • Equipment and signals: Machine and controller models, accessible signals, electrical compatibility, and edge device or gateway installation requirements.
  • OEE inputs: Sources for output, good and rejected units, and run time. Agree the time definitions used for OEE and identify missing inputs.
  • Downtime: Signals marking starts and stops, who records or verifies each reason, and how events will be checked against shop-floor observations.
  • Installation and acceptance: Authorized equipment access, installation windows, approved networks, and a method for comparing data with reference records before expansion.

The current configuration receives mapped signals through an edge device or gateway; it does not write directly into a PLC. Older equipment needs a signal and site assessment. Not every machine can be connected without modification.

Bring your machine list, data sources and one production problem to discuss with an engineer →

Older machines: assess an edge signal path.

No modern machine-data interface? Assess the signals first. The current setup includes edge signal mapping and an ESP DC input template. For an older machine, an engineer must confirm accessible signals, electrical compatibility and installation requirements. This is not a promise that every machine can connect without modification.

05 / Implementation

Agree the scope. Start with a useful decision.

  1. 01

    Discover

    Understand machines, available data and the decisions your team needs to make.

  2. 02

    Connect

    Confirm and connect the agreed gateway, edge or sensor signal path.

  3. 03

    Configure

    Add machine, production, downtime and operational context.

  4. 04

    Use

    Review dashboards, alerts and AI insights with the people responsible for action.

Scope and implementation plans depend on data, existing systems and team readiness, and are agreed after discovery.

Before you get started

Can educational institutions use CapyX for free?

Yes. Educational institutions can use CapyX free during the initial period for teaching and learning. Students can use the actual system to explore machine data, practice factory layout and simulate production with Digital Twin. Contact RoboCloud with your institution, course and intended use to arrange access.

What can CapyX Digital Twin do?

Use it to arrange a 3D factory layout, define workstations and transport routes, simulate production flow and compare output, queues and work in progress using configured times and assumptions. It supports concept exploration and teaching before validation against the actual operation.

Do these Digital Twin images show live machine data?

These are actual CapyX screens using simulation models and demonstration data, including an AGV transporting a workpiece. They do not show live customer-factory data. Connecting real machines requires an assessment of available signals, data-acquisition equipment and compatibility.

Who is CapyX for?

For production leaders, factory engineers and maintenance teams preparing the next shift, daily meeting or investigation.

What should we prepare for a walkthrough?

Bring a machine list, available data sources and one production problem you want to understand.

How does it fit existing systems?

Begin with the machine signals and production records already available. CapyX's current configuration maps signals through an IoT edge device or gateway; it does not write directly into a PLC. The engineering assessment confirms the signal path, equipment compatibility and data scope before connection.

What are the limits of AI?

AI does not establish the root cause or autonomously control a machine. Engineers verify the evidence and decide the response. This example does not imply every machine has vibration sensing or baseline analysis configured.

06 / Your next step

Talk about your factory

Bring a machine list, available data sources and one production problem you want to understand.

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Explore another Capy product.

When should you choose CapyX? Review product selection answers →

Answers before implementation

Review preparation and scope for CapyX →