AI-Native Manufacturing Platform
Run your factory.Build what comes next.Just describe it.
One integrated platform for production, planning, warehouse, quality and maintenance.
With Metalya Studio AI, your team can describe what it needs and create new applications, business rules and functionality — without having to develop everything from scratch.
One connected system. Less complexity. More freedom to evolve.
Describe what you need
When a batch fails inspection, put it on hold, notify the quality manager and show the affected orders.
Build with AINew in your platform
- Business rule
- Workflow
- Notification
- Screen
Works with quality, warehouse and production data
- APSPlanningPlan v14 released
- MESProductionWO-2291 · 402 / 650 pcs
- WMSWarehouseLot L-0457 · availableLot L-0457 · on hold
- QCMSQualityQO-2207 · in inspectionQO-2207 · failed
- CMMSMaintenancePress P-04 · service in 3 days
One platform · one set of data · shared by every department
The problem
Your factory is connected by processes. Why isn’t your software?
Production, planning, warehouse, quality and maintenance depend on each other every hour. When each runs on its own system, the gaps fill up with spreadsheets, phone calls and waiting.
Production and warehouse see different numbers
Stock, lots and consumption are updated in one system — and only later in the other.
The plan reacts too slowly
A machine stops or material is late, and the schedule catches up only when someone notices.
Every new function means waiting
Analysis, a quote, development, testing: even a small change becomes a long wait.
Information is scattered
Orders in the ERP, progress on paper, quality in spreadsheets: nobody sees the whole picture.
Each customisation becomes a project
And every project adds code that someone will have to maintain.
Metalya brings production, planning, warehouse, quality and maintenance into one system — and lets your team build what is still missing.
See how it fits togetherOne platform
One platform. Every manufacturing operation connected.
Follow one order through the plant. Every department works on the same information as it happens — no re-typing, no reconciling.
- 01
The order is planned
Scheduled on the real capacity of machines, people and materials.
Production planning APS - 02
Production runs it
Operators see what to make and declare quantities, scrap and downtime at the station; connected machines report progress.
Production control MES / MOMMachine connection IOT - 03
Materials are tracked
Lots consumed and produced are recorded against the order, from goods receipt to shipment.
Warehouse & lots WMS - 04
Quality checks it
Planned controls run during production, and a non-conforming lot can be put on hold.
Quality control QCMSProcess control SPC - 05
Machines stay available
Maintenance is scheduled on machine counters and data, in step with the production plan.
Maintenance CMMS - 06
Everyone works from the same facts
Planning, production, warehouse, quality and maintenance share one up-to-date record — and your ERP stays connected.
ERP integration INTERFACE
- Greater operational visibility
- Fewer manual reconciliations
- Faster reaction to problems
- Reduced integration complexity
Explore the modules
Twelve modules.
One connected system.
Start with the modules you need and add the others over time — all on the same data, with Studio AI on top.
All modules
Planning & materials
Quality & maintenance
Discover →
The difference · Metalya Studio AI
Need something new? Just describe it.
Your operations change. Your software should keep up.
Need a new quality control process, a custom application or a business rule that connects different departments? Describe what you need in natural language.
Metalya Studio AI can help create the application, its interface, workflows and business logic — integrated with your manufacturing environment.
Your team stays in control of the result.
Write it the way you would explain it to a colleague. No forms to fill in, no code.
Your request
“When a batch fails quality inspection, automatically put it on hold in the warehouse, notify the quality manager and show which production orders are affected.”
Metalya AI turns the request into the pieces it needs: rules, workflow steps, notifications and screens.
Generated by Metalya AI
- Business ruleIf an inspection result is “fail”, put the lot on hold
- WorkflowHold → notify → review → release or scrap
- NotificationMessage to the quality manager with lot and result
- ScreenAffected production orders, with status and quantities
Each piece is linked to the data and actions your plant already runs on — lots, quality checks, production orders, people.
Connected to your platform
- batchLotWarehouse
- quality inspectionQuality check and its resultQuality
- put on holdExisting hold actionWarehouse
- production ordersWork orders using the lotProduction
- quality managerUser and roleAccess settings
Your team checks the result, tries it and decides when it goes live. Nothing reaches the shop floor without approval.
Your team stays in control
- Preview with real data
See the screens and results before anyone uses them.
- Test before go-live
Try it in a test environment, then release it between environments.
- Authorised people only
Only administrators can design and publish changes.
- Same rules as standard screens
It uses the platform’s existing actions and permissions — the traceability record stays complete.
A concrete example
One request. A solution across quality, warehouse and production.
The request
“When a batch fails quality inspection, automatically put it on hold in the warehouse, notify the quality manager and show which production orders are affected.”
What Metalya AI helps create
Business rule
A failed inspection puts the lot on hold automatically.
Application logic
Links the inspection result to the lot in the warehouse and to the orders that use it.
Notifications
The quality manager is told which lot failed, and why.
Control screen
A view of the affected production orders, with status and quantities.
Inspection QO-2207 failed · coating thickness out of tolerance
Affected production orders
| Order | Product | Stage | Qty | Status |
|---|---|---|---|---|
| WO-2291 | Housing AX-90 | Painting | 402 / 650 | Stopped |
| WO-2304 | Housing AX-90 | Assembly | 0 / 400 | Waiting |
| WO-2310 | Cover BX-12 | Painting | 120 / 300 | Check |
Quality manager notified 09:42
Why integration matters
In Metalya, production, warehouse, quality and maintenance already share the same data. So the new rule can connect quality, warehouse and production without an integration project between separate systems.
Concept example: it shows the kind of functionality Studio AI is designed to help build. It is not a recording of a live session. Try the interactive Studio demo (simulated)
Time to value
Start with what you need. Grow without starting over.
Metalya already includes the industrial functions a plant runs on. You don’t build the system from scratch: you configure it, connect it and extend it, one step at a time.
- Faster time to value
- Less custom development
- Built to evolve with your operations
- 01
Start where it matters most
Production control, planning, the warehouse, quality or maintenance: adopt the modules you need first.
- 02
Connect what you have
Link your ERP and machines. Metalya works alongside the systems that already do their job.
- 03
Add modules as you grow
Further modules such as energy, machine connection and AI vision join the same data — without a new integration project each time.
- 04
Extend with Studio AI
When a process needs something the standard doesn’t cover, describe it and build it on the platform instead of opening a development project.
Timing depends on your scope, plants and integrations. After a first look at your process, we give you a realistic plan.
More autonomy
Your team knows your factory. Give them the power to improve its software.
Traditionally, a change goes through specifications, quotes, development and revisions. With Metalya Studio AI, the people who know the process can express what they need directly — and help build it.
The traditional path
- Write a specification
- Wait for a quote
- Wait for development
- Test, then ask for changes
With Metalya Studio AI
- Describe the need
- Review what AI builds
- Test it with your data
- Release it
IT stays in control: design rights, access, testing and releases remain governed. Studio AI reduces custom development for supported needs — it does not remove technical oversight.
What it means for
- CEO / owner
Digitalise your factory without multiplying software, suppliers and development projects.
- Operations / plant manager
Connect production, planning, warehouse, quality and maintenance. Spot problems before they affect results.
- IT / CIO
One integrated platform you can extend, without building and maintaining separate applications.
- Production, quality, logistics
Need a new check, rule or app? Describe it and let Metalya AI help build it.
Customers
Real plants, real processes, running on Metalya.
What changed for some of the manufacturers that run production, planning, quality and traceability on Metalya.
- Problem
- Production was supervised manually, so errors, delays and productivity issues were found late.
- Solution
- Machines connected, paperless web workstations for operators, then planning on the same production data.
- Result
- A real-time view of production; scrap, downtime and setups monitored as they happen; more balanced planning with shorter lead times.
- Problem
- Production orders crossed several software tools held together by workarounds, causing delays and miscommunication.
- Solution
- Two-way integration between Microsoft Dynamics 365 Business Central and production.
- Result
- Order handling is automated, every department works from the same status, and bottlenecks surface earlier.
- Problem
- Production was monitored by hand, process variation was not tracked statistically, and tracing materials took effort.
- Solution
- Statistical process control and end-to-end material tracking added to real-time production monitoring.
- Result
- Deviations are acted on while production runs, and traceability runs from raw material to finished hose.
More stories: Patelec Group · Condulimex · E.G.S. LobArt · Molino di Ferro — These are just a few examples. Metalya runs in many more plants across many industries — ask us for references in your sector.
Industries
Built for discrete and process manufacturers.
Plants with real routings, real constraints and real traceability requirements.
Explore all industries- 01
Rubber & Plastics
Moulding parameters, mould changes, micro-stops and lot traceability on one model.
- 02
Electrical & Electronics
From copper and components to finished assemblies, with traceability customers can audit.
Customer example: Patelec Group, Condulimex
- 03
Automotive & Composites
Serial production with demanding customers: planning, quality records and part traceability.
Customer example: E.G.S. LobArt
- 04
Wood & Furniture
Make-to-order flows from panel to assembly, connected to the ERP in both directions.
Customer example: Florian
- 05
Food & Beverage
Recipes, allergens, lot traceability and grouped production to limit cleaning and changeovers.
Customer example: Molino di Ferro
- 06
Machinery & Equipment
Engineer-to-order complexity: long routings, assemblies and shared machines.
- 07
Metals & Fabrication
Cutting, bending, welding and finishing — with heat-lot traceability and energy per piece.
- 08
Pharmaceutical
Formulations, devices, critical parameters, batch traceability and audit-ready documentation.
Tell us what your factory needs. We’ll show you what Metalya can do.
Bring a real process: a planning problem, a traceability requirement, a check that is still on paper. We’ll show you how Metalya handles it — and what Studio AI could build for you.