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Prove what products a machine can manufacture before installation
For equipment OEMs and line integrators
Turn every machine into a learning, simulation-ready production system.
Meallions adds equipment-specific digital twins, verified operating windows, and production intelligence to extrusion lines—helping manufacturers differentiate their equipment, accelerate commissioning, and improve lifecycle service.
Start with one equipment model, one product category, and one customer installation.
Equipment model → installed base
Illustrative example
Configuration
- Screw configuration
- 2 × 75 mm, L/D 20
- Die geometry
- 6 × 3.2 mm round
- Barrel zones
- 5 zones, 60–140 °C
- Feed rate
- 0.4 – 1.6 t/h
Connected customer lines
- Line AModeled12 runs
- Line BCommissioning4 runs
- Line CVerified runs27 runs
Learning loop
Simulation → recommended window → expert-reviewed commissioning → confirmation run → predicted vs. actual → updated equipment model
Generated is not verified. Simulated is not production-proven.
Who might benefit from the platform
- Extruder manufacturers
- Complete production-line manufacturers
- Feeder, dosing, dryer, and auxiliary equipment manufacturers
- Process-line integrators
- Industrial automation partners
Customer tasks
What these teams need to solve.
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Translate equipment specifications into usable process windows
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Reduce commissioning and customer ramp-up time
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Give customers line-specific recipes and starting setpoints
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Improve remote diagnostics and technical support
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Capture knowledge from every installation
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Create differentiated software-enabled equipment offerings
Value proposition
Sell production capability—not only equipment.
Meallions creates a digital representation of each supported equipment configuration and connects it with recipes, ingredients, process conditions, QA results, and real production behavior. Customers receive more than a machine: they receive an evaluated starting point, a controlled commissioning workflow, and a system that continues learning from verified runs.
Faster application engineering
Evaluate product and process requirements before committing engineering or line time.
More predictable commissioning
Begin with evaluated operating windows instead of discovering settings from zero.
Stronger equipment differentiation
Demonstrate machine capability through product-specific simulations and verified production evidence.
Continuous lifecycle intelligence
Use reviewed telemetry, deviations, and production outcomes to improve equipment models and customer support.
Relevant modules
The parts of Meallions OS this segment uses.
Digital Twin
Equipment-specific simulation, sensitivity analysis, operating-window prediction, and predicted-versus-actual comparison.
Production
Telemetry, equipment status, alarms, integrations, and batch-linked operating data.
Verification
Commissioning gates, confirmation-run results, deviations, and evidence status.
Research + Learning
Structured equipment knowledge, documentation, prior installations, and reviewed operating results.
Recipe Builder
Converts customer product requirements into candidates compatible with the selected equipment.
How the workflow operates
One governed sequence, end to end.
Customer product requirementEquipment configurationDigital twin simulationRecommended operating windowExpert-reviewed commissioning planPhysical confirmation runPredicted-versus-actual comparisonUpdated equipment model
Practical use cases
Where teams start.
Product feasibility before equipment sale
Evaluate whether a proposed line can support the customer’s product, throughput, quality, and economic requirements.
Software-enabled machine delivery
Deliver equipment with a configured digital twin, evaluated starting setpoints, and a structured commissioning plan.
Faster commissioning
Compare screw configurations, die geometry, moisture, temperature, and throughput before consuming production material.
Installed-base support
Use line telemetry and reviewed production outcomes to diagnose deviations and improve future recommendations.
Meallions internal scenario
The DG75-II twin-screw extruder is used on this page as an illustrative equipment example only. It is not a universal configuration and not a verified customer result.
Pilot scope and indicators
What a pilot measures.
Each indicator is tracked against your own baseline during the pilot. Generated is not verified. Simulated is not production-proven.
Commissioning duration
Time to reach a stable operating window
Number of physical adjustment runs
Prediction-versus-actual difference
Time to resolve process issues
Number of equipment configurations modeled
Number of connected customer lines
Meallions pilot target
Measurements tracked during a pilot—not promised outcomes.
AI and human responsibilities
AI executes the repeatable work. Experts decide.
What AI does
- Simulate equipment configurations across product and process conditions
- Predict candidate operating windows and sensitivities
- Compare predicted against measured run data
- Structure documentation, installation history, and reviewed telemetry
What experts control
- Define engineering objectives and machine limits
- Approve commissioning plans and confirmation runs
- Own safety, mechanical integrity, and customer acceptance
- Decide on exceptions, deviations, and final equipment sign-off
Experts control objectives, scientific judgment, exceptions, safety, approval, and product release. Meallions does not release products automatically.
Equipment Manufacturers
Start with one equipment model and one customer installation.
We scope an OEM integration pilot around a single machine configuration, a single product category, and the connectivity you already have on the line.