FactoVia Lab
Your production floor is not a testing ground.
Whether you are planning a new factory or modernising an existing one, decisions made early can shape years of operations. FactoVia Lab brings business, IT, OT and engineering teams into a shared, practical environment where they can see the same industrial data architecture, challenge assumptions and test ideas before committing to implementation. By identifying integration issues earlier and testing decisions against practical evidence, FactoVia Lab helps de-risk factory development and modernisation.
Make the data flow visible.
Turn an abstract architecture into something everyone can observe and discuss. Follow a signal from its source through a structured data layer to a useful application. Give different stakeholders a shared view of what the solution is supposed to do and identify integration questions before changing production systems.
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Equipment & sensors
Observe a real signal
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UNS data layer
Name, timestamp and context
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Test application
Dashboard, rule or consumer
What would you like to do in the Lab?
Understand
Follow a real industrial data flow step by step. See how equipment signals become structured, contextualised information that systems and applications can use. Give business, IT and OT teams a common understanding of the proposed architecture before making implementation decisions.
Observe a signal
- Signal Machine status
- Context Equipment and time
- Information Readable event
Experiment
Explore different data structures, technologies and integration approaches in a controlled environment. Turn theoretical ideas into tangible scenarios, compare alternatives and challenge assumptions before committing resources to a new factory or an existing system.
Compare approaches
- Scenario Same input
- Option A / B Different structures
- Findings Observe the difference
Practise
Prepare teams for commissioning a new factory or introducing changes to an existing one. Rehearse procedures, investigate failures and clarify responsibilities together in a controlled environment, before these situations arise in production.
Practise a response
- Event A source stops updating
- Team action Identify and investigate
- Review Agree responsibilities
Validate
Test industrial data architectures, integrations and applications against agreed criteria before deployment. Identify weaknesses early, document what works and reduce the risk of costly rework, delays or disruption later in the project.
Validate a use case
- Criteria What should happen
- Test What actually happened
- Decision Refine, pilot or stop
Choose the right environment
for the question.
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Physical Lab
Work with real equipment, observe industrial signals and investigate how physical devices interact with connected systems.
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Digital Lab
Explore data structures, integration logic and application behaviour in a software environment before deploying changes to industrial infrastructure.
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Hybrid Lab
Connect physical equipment with digital systems to test end-to-end scenarios and evaluate how components interact.
From a specific question
to evidence you can use.
A shared vision is useful only when it can be tested. Define what the factory or system needs to achieve, bring the relevant teams around the same scenario and gather practical evidence before investing further.
- Frame Define the problem, align stakeholders, identify assumptions and agree what needs to be tested.
- Test Run the scenario in a controlled environment and observe how the proposed solution behaves.
- Review Document findings, identify remaining risks and decide whether to refine, pilot or proceed.
Investigate production issues and test new ideas.
The later a fundamental design or integration issue is discovered, the harder and more expensive it can become to correct.
For new facilities and factory renovations alike, FactoVia Lab helps teams expose uncertainty earlier, before systems are commissioned or changes affect live operations.
Two reasons to use the Lab
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New idea
Explore a new concept, integration or industrial data architecture before committing to implementation. Make the proposal tangible, compare options and gather evidence for investment and design decisions.
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Production issue
Reproduce technical problems away from the production floor, investigate their root causes and evaluate possible solutions before changing operating equipment and systems.
Test the question that matters
to your operation.
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Explore a hypothesis
Compare data models, software components or integration approaches against the same scenario. Identify which option best meets technical and operational requirements.
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Rehearse a procedure
Prepare teams to respond to unexpected events, unavailable data sources or integration failures. Practise investigation and recovery before these challenges affect operations.
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Build on open interfaces
Explore how OPC UA, MQTT, UNS and i3X can support connectivity and data exchange. Evaluate their suitability within the proposed architecture and existing technical environment.
What do you want to test?
Planning a new factory, upgrading existing systems or investigating a production challenge? Bring your question to the Lab and find out what can be validated before the next decision.