Single source of truth
Better communication
When production, planning, and management work from the same definitions, conversations become clearer and decisions move faster.
Give your operation one shared structure for data, not another point integration
Mustry helps you move away from fragmented spreadsheets, point integrations, and conflicting numbers. We design a Unified Namespace that captures data from machines and systems, structures it clearly, and makes it usable for better day-to-day decisions.
Operational visibility
Faster day-starts
A UNS keeps operational context in systems instead of in people's heads, so day-starts rely less on memory and more on shared visibility.
Scalable architecture
Accelerate innovation
A new line, asset, or site extends the structure, so your team spends less time on integrations and more on what moves the business forward.
Why This Matters
Most plants do not have a data problem. They have a naming problem.
Every dashboard in the plant is technically correct and still disagrees with the others. The fix isn't more dashboards, it's the structure underneath them.
Excel islands
Operators, planning, and office teams end up maintaining separate lists and side calculations because the systems do not speak the same language.
Point-to-point growth
Every new machine, software package, or dashboard adds another custom connection and another maintenance burden.
Conflicting KPIs
Teams spend time debating whose number is correct instead of using the number to steer the process.
What A UNS Is
One operational structure, shared across machines and systems
A Unified Namespace is a practical architecture pattern that gives your production environment one consistent way to name, publish, and consume data. It becomes a shared reference point for operators, engineers, planning, management, and digital systems.
Four properties make this work in practice. Consistent naming gives orders, machines, states, and events one definition that both people and systems can rely on. Central publication lands data from machines and business systems in one namespace instead of isolated silos, so any system can pick it up without a custom integration. Decoupled consumption means dashboards, reporting, and alerts read from that structure without creating new direct dependencies between source and consumer. And operational usability keeps the architecture grounded, built for daily operations, not just future analytics ambitions.
Operational Outcomes
What you gain when data is already structured before you need the next dashboard
- 01
Numbers stop disagreeing across meetings
OEE from the floor, throughput from planning, and output from the ERP stop telling different stories. One namespace, one set of definitions, one answer to "how did we actually run last shift?"
Meetings start from the number, not about the number.
- 02
Faster visibility
Because the structure already exists, dashboards and day-start views can focus on status, bottlenecks, and action instead of data cleanup.
A clearer daily rhythm and faster interventions.
- 03
New assets plug in, instead of getting wired in
A new line, machine, or site joins the existing namespace by configuration. No new point-to-point bridges between a dashboard, a historian, and an MES every time something is added.
Less custom work for each new integration.
- 04
Better steering
The aim is to reduce waste in time, energy, and material by giving teams reliable insight into what is happening now.
Faster steering, less loss, better delivery performance.
How We Implement
Mustry builds the backbone with you, not in isolation from your teams
Step 01
Capture what already exists
We help pull data from machines, PLCs, and existing software so it can be brought into one coherent structure.
Step 02
Define the shared language
Together with your people, we agree how assets, states, and process context should be named and grouped.
Step 03
Build the backbone
We implement the UNS architecture and choose the right event-driven and time-series building blocks for the environment.
Step 04
Make it operational
We turn the structure into practical dashboards, day-start visibility, analysis flows, and team enablement.
Implementation Context
Technology should support the architecture, not define it
We often build UNS architectures around MQTT, and we use tools such as Ignition for visualization and SCADA or MES use cases. When historian capability matters, TimescaleDB or Canary can provide the time-series foundation. If the environment needs another event-driven approach, Kafka or RabbitMQ can also fit.
MQTT
Ignition
TimescaleDB
Canary
Kafka
RabbitMQ
What Needs To Be In Place
What needs to be in place
Best fit
This is especially relevant for manufacturing companies that already have multiple systems, want more reliable control over planning, progress, quality, and downtime, and do not want every new integration to become another custom project.
Consultancy And Training
We do not only design the architecture. We help your team own it.
Mustry works in a done-with-you model. We help capture the right data, define the operational structure, implement the technical backbone, and train internal teams so they can extend the solution with confidence. If you want to explore whether a UNS fits your environment, book a call with Jasper.
Consultancy
Architecture guidance, technical design, and practical rollout support for manufacturing environments that need a robust data backbone.
Implementation
Hands-on work to capture, structure, visualize, and integrate the data flows that matter in production.
Training
Knowledge transfer and coaching so your internal team can understand, operate, and extend the architecture over time.