AI-Native Manufacturing Platform
Run your factory.Extend it without code.Just describe it.
One integrated platform for production, planning, warehouse, quality and maintenance.
With Metalya Studio AI you extend the platform with new menus, logic and flows — without code, just by describing them.
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
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 →
Who it is for
For the people who run the plant, and the people who work in it every day.
Discrete and process manufacturers that want one system for their operations — and the freedom to adapt it themselves.
- 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 menu? Describe it and Metalya Studio AI adds it to the platform.
Some of the industries we work in
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.
For example: Patelec Group, Condulimex
- 03
Automotive & Composites
Serial production with demanding customers: planning, quality records and part traceability.
For example: E.G.S. LobArt
- 04
Wood & Furniture
Make-to-order flows from panel to assembly, connected to the ERP in both directions.
For example: Florian
- 05
Food & Beverage
Recipes, allergens, lot traceability and grouped production to limit cleaning and changeovers.
For 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.
Customers
Real plants, measured results.
A few examples of what changed for manufacturers that run production, quality and traceability on Metalya.
- 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.
- Problem
- A wide product mix needed precise coordination across many steps, and bottlenecks were found late.
- Solution
- Planning, real-time monitoring, quality control and machine connectivity on one platform.
- Result
- Scheduling follows real progress, bottlenecks surface sooner and quality checks are part of production.
- Problem
- Manual processes slowed deliveries, and materials, production stages and finished products were not connected in one record.
- Solution
- Production tracking, traceability and quality management centralised on Metalya.
- Result
- Bottlenecks are addressed as they appear, and traceability records support regulatory and customer requirements.
More stories: ISOSPA · Florian · E.G.S. LobArt · Molino di Ferro — These are only examples: Metalya runs in many more plants and industries — ask us for references in your sector.
How it works
One order, from plan to shipment, on one platform.
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
Make it yours · Metalya Studio AI
Adapt it to your processes, without code.
Your operations change. Your software should keep up.
A new quality check, a menu for one department, a rule that connects two areas: describe what you need in natural language.
Metalya Studio AI adds it to the platform — menus, screens, logic and flows — on the data and actions of your modules, without code. A trained administrator reviews, tests and releases it on their own.
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.
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 how Studio AI extends it for you.