Stage 1
Education
Universities train on Meallions
Students learn fortification, traceability and process control on real digital-twin simulations.
Output:Trained operators
One platform · Three solutions
The AI-Native Digital Twin for Food Extrusion — From Classroom to Factory Floor
Meallions transforms how food extrusion is taught, manufactured, and engineered. One platform. Three tailored solutions. One shared mission: eliminating micronutrient deficiency through better food production.
Meallions / Equipment / DG75-II Twin-Screw ExtruderLive
Shift Afternoon 14:00–22:00 ActiveCrew 1 · lead TESTActive batches 1Open alarms 2Ingestor 5 Hz · 0 drops
DG75-II Twin-Screw Extruder
ReadyExtruder · Jinan Eagle Food Machinery · DG75-II
Plant-1 · Singapore
extruder-int-001
Configuration
Type
Extruder
Integration
Enabled
Temp zones
6
Hoppers
5
Protocols
OPC_UAMODBUS
Max throughput
120 kg/h
Created
Apr 6, 2026
Updated
Apr 24, 2026
Identity
Vendor
Jinan Eagle Food Machinery
Model
DG75-II
Factory
Plant-1
Location
Singapore
Nameplate
Screw Ø
75 mm
Max screw RPM
600
Max motor
55 kW
Mission & Vision
Transforming Nutrition with AI, One Grain at a Time
The problem
“Hidden hunger is a manufacturing problem — solvable with better tools.”
Nearly 2 billion people eat enough calories but not enough nutrients. Iron, zinc, vitamin A — quietly missing from the staple foods they rely on every day.
We mirror food and feed plants in software — connecting education, industry, and engineering — so every batch is steered toward precise, scalable, and traceable. The result is a manufacturing layer that turns nutrition policy into product reality.
Transforming Nutrition with AI, One Grain at a Time.
Who We Serve
One Platform. Three Tailored Solutions.
Whether you educate, manufacture, or engineer — Meallions connects your work to the same intelligent network.
For Education
Train Students on Real Industry Processes
Most food science graduates have never operated an industrial extruder. Meallions gives universities a simulation-first environment where students design recipes, configure extrusion parameters, and run virtual batches on digital twins of real equipment — building factory-floor confidence before they ever touch a machine.
Prepare graduates who are ready from Day 1. Issue verifiable simulation certificates. Align your curriculum to what the industry actually uses.
- Simulation-only mode — no hardware needed
- Curriculum-aligned extrusion modules
- Student performance tracking and certification
- Faculty scenario tooling and assessment
- Safe environment to experiment, fail and learn
Core Platform
For Manufacturers
Plan, Simulate and Produce — Without the Risk
Replace spreadsheets and reactive QA with a full-cycle AI workflow. Meallions mirrors your specific extrusion line in software so you can predict yield, nutrition and energy consumption before committing raw material.
Adaptive fortification keeps micronutrient targets on spec despite ingredient variability. Every batch is verified, certified, and fully traceable — from raw intake to finished pallet.
- Live ingredient market feeds reprice recipes in real time
- Digital twin predicts yield, energy and retention pre-run
- Real-time production control with automatic drift correction
- Inline + lab QA reconciled before release
- ISO 22000 / HACCP-aligned Certificates of Analysis
- 60-second recall by ingredient lot
For Equipment Manufacturers
Turn Your Hardware Into a Smart Platform
Extrusion hardware is increasingly commoditised. Meallions gives OEMs a way to differentiate — by embedding digital twin capability directly into their machines.
Ship equipment that arrives connected. Let prospects simulate their own production scenarios on your machine before purchase. Build recurring software revenue on top of every unit sold.
- Native OEM hardware integration (OPC UA / Modbus)
- Co-branded simulation tool for pre-sale demos
- Live telemetry, remote diagnostics, predictive maintenance
- Performance benchmarking across your installed base
- New software-attached recurring revenue stream
- Built-in distribution via the Meallions manufacturer network
The Meallions Flywheel
A compounding loop across education, manufacturing and equipment.
Stage 2
Manufacturing
Plants adopt the platform
Graduates arrive fluent on Meallions, so manufacturers scale fortified production with the workforce already trained.
Output:Fortified batches
Stage 3
Equipment
OEMs integrate & feed the loop
Connected machines stream richer twin data back into the simulations powering universities — closing the loop.
Output:Twin data streams
Equipment data → richer simulations → better-trained graduates → stronger plants. The loop compounds each cycle.
Current Partners
Trusted across education, food and equipment
Meallions is co-developed with leading institutions and manufacturers shaping the future of fortified food.
University of Nairobi
Education partner
Wilmar International Group
Food manufacturing partner
Jinan Eagle Food Machinery
Equipment partner
See the platform
Real screens from the operator console.
Light-theme panels straight from platform.meallions.com— status bar, equipment tabs, telemetry, and alarms.
platform.meallions.com
Equipment working process
Live mnemonic of the line — extruder, dosing and conveyors animated from real telemetry.
01 / 05
Platform
One platform from raw intake to certified shipment.
Built for fortified staple producers today — and designed to scale across every extrusion application tomorrow.
Replace siloed spreadsheets, paper QA logs and disconnected PLCs with a single production control platform built for fortified staples.
Adaptive fortification
Recipes adjust to incoming raw material variability so micronutrient targets stay on spec batch after batch.
Extrusion digital twin
Mirror your line in software. Predict pressure, energy and retention before the physical run.
Quality & traceability
Every lot, dosage and reading captured. 60-second recall from finished bag back to raw intake.
Audit-ready certificates
Generate Certificates of Analysis and compliance reports without spreadsheets or rework.
Workflow
A full-cycle AI workflow, from inventory to certificate.
Plan, experiment, simulate, produce, verify and certify on one platform — every step writes back to the same batch record, so office, control room and lab stay in sync.
01
Educate
See what's in your silos and what each ingredient costs today. Know exactly what you can produce — and at what margin — before planning a single batch.
02
Experiment
Set the nutrition and cost targets for the product. The platform suggests candidate recipes built from your approved ingredients and premixes.
03
Simulate
Test every recipe in the digital twin. Predict yield, nutrition and cost per tonne — and catch problems before the line is started.
04
Produce
Send the approved recipe to the extruder. The line follows the plan automatically and adjusts in real time to keep every batch on spec.
05
Verify
Lab and inline sensors cross-check the finished product against the recipe spec. Any deviation is flagged on the batch record before release.
06
Certify
Each batch is checked against its spec and gets a signed certificate of analysis — fully traceable from raw intake to finished pallet.
Swipe to explore each step
Linked to step 01 · Educate
Streaming · 30sLive ingredient market feed
- 248.4-1.8%
Maize, yellow #2
USD / t · CBOT
- 312.1+2.4%
Wheat, milling
USD / t · Euronext
- 1,840+0.6%
Soy protein conc.
USD / t · Spot
- 86.5-3.1%
Vitamin A premix
USD / kg · Contract
- 14.2+1.2%
Iron (NaFeEDTA)
USD / kg · Spot
Recipe planning, repriced in real time
Every tick from contract, spot and exchange feeds is matched against your current bill of materials. The planner re-solves the recipe, projects unit economics for the next batch, and flags any spec or margin breach before you commit raw intake.
- Baseline COGS
- $412/ t
- Projected
- $408.6-0.8%
- Margin
- 11.4%on spec
- Auto-substitute ingredients when a cheaper, on-spec alternative appears.
- Lock procurement windows from forward curves, not last week's invoice.
- Push the repriced recipe straight into the digital twin for simulation.
Linked to step 02 · Experiment
Candidate recipes against your targets
RecipeProtein · CostFit
Maize–Soy Fortified
14.2% · $412
96Wheat–Pulse Blend
13.8% · $398
92High-Protein Premium
18% · $471
88
Targets in, recipes out
Set the nutrition envelope, cost ceiling and required premixes. The platform searches your approved ingredient catalog and returns recipes that meet spec — ranked by fit, cost and ingredient availability.
- Targets
- 7
- Candidates
- 24
- On spec
- 11ready
- Constraints: protein, fat, fibre, premix dose, allergens.
- Reuse approved formulas or branch a new variant in one click.
- Send any candidate to Simulate without re-entering data.
Linked to step 03 · Simulate
Digital twin of the extrusion line
- Predicted yield
- 98.2%+1.4
- Energy / t
- 184 kWh
- Throughput
- 3.6 t/h
- Moisture exit
- 11.8%
Operating window · die pressure
32 bartarget 4148 bar
Predict the batch before you start it
The twin models your specific line — screw configuration, die geometry, moisture, throughput. It returns expected yield, nutrition retention and energy use, plus the operating window that keeps the batch on spec.
- Compare scenarios side-by-side: cost vs. nutrition vs. throughput.
- Catch off-spec risk hours before raw material is committed.
- Approved scenario becomes the setpoint package for the line.
Linked to step 04 · Produce
Real-time control of the running batch
Pre-die pressure
41.2 barin windowBarrel zone 3
138 °Cin windowScrew load
62%in windowPremix dose
0.84 kg/minauto-trimMoisture in
16.1%in window
The plan runs itself — you supervise
Approved setpoints are pushed to the line. The platform watches every sensor, corrects drift inside the operating window, and pauses the line if a deviation would push the batch off spec.
- Batch
- B-2419
- Yield
- 97.8%
- Spec drift
- 0.3σstable
- Auto-trim premix dosing to absorb raw material variability.
- Every event is timestamped and tied to the batch record.
- Operators see the same numbers as the planner — no handover gap.
Linked to step 05 · Verify
Inline + lab cross-check before release
- 14.1%pass
Protein
target 14.0 ±0.5%
- 5.9%pass
Fat
target 6.0 ±0.4%
- 842 IU/gpass
Vitamin A
target ≥ 800 IU/g
- 63 ppmpass
Iron (NaFeEDTA)
target ≥ 60 ppm
- 11.8%pass
Moisture
target ≤ 12%
- 1.2 µg/kgpass
Aflatoxin B1
target ≤ 5 µg/kg
Every batch proven against its own spec
NIR scans, inline sensors and lab assays are reconciled against the recipe spec. Nothing leaves the warehouse until each parameter is inside its tolerance — and any deviation creates an investigation task automatically.
- Checks
- 34
- Pass rate
- 100%B-2419
- Lab time
- 42 min
- Inline NIR results reconciled with wet-lab assays automatically.
- Out-of-tolerance reading opens an investigation, blocks release.
- Verified results feed the certificate without re-keying.
Linked to step 06 · Certify
Signed certificate of analysis
Certificate of Analysis
CoA-2026-04-B2419
- Product
- Maize–Soy Fortified, 25 kg
- Batch
- B-2419
- Recipe rev.
- v3.4
- Released
- 2026-04-28 14:02 UTC
- Signed by
- QA Lead · cryptographic seal
All parameters within spec — released to warehouse.
One click, one signed document, full traceability
The certificate is generated from the verified batch record — recipe version, raw lots, line setpoints, lab results and operator signatures. Signed cryptographically, retrievable by QR or batch ID for audits and recalls.
- Recall window
- < 60s
- Standards
- ISO 22000
- Retention
- 7 yrimmutable
- One QR per pallet links to the full batch record.
- Aligned with ISO 22000, HACCP and customer audit packs.
- Recall any batch by ingredient lot in under a minute.
Implementation roadmap
A tailored rollout for every partner.
Pick your track — every phase has a measurable outcome and a clear next step.
For Manufacturers
From plant audit to AI-optimized production in 12 weeks.
A phased rollout for fortified staple producers — every milestone has a measurable outcome on the floor, not just a slide deck.
Get a roadmap tailored to your manufacturers use case.
- 01Phase 01Week 1–2
Discovery & plant audit
On-site assessment of equipment, ingestor points, recipes, and compliance scope. We map every PLC, scale, and lab instrument.
- Equipment & signal inventory
- Fortification recipe baseline
- Compliance & SKU scope sign-off
- 02Phase 02Week 3–5
Twin build & ingestor wiring
Stand up the digital twin, wire ingestors to PLCs and lab systems, and replay 30 days of historical batches to calibrate models.
- Live telemetry & overview
- Historical batch replay validated
- Alarm rules & thresholds tuned
- 03Phase 03Week 6–8
Pilot line go-live
Run one fortified SKU end-to-end — operators steer batches with twin recommendations while QA signs off in-app.
- First SKU producing on-spec
- Operator & QA training complete
- Batch & compliance reports automated
- 04Phase 04Week 9–12
Scale-out & optimization
Roll the twin across remaining lines and SKUs, enable cross-plant benchmarking, and turn on AI-assisted recipe optimization.
- All lines & SKUs on-platform
- AI recipe optimization enabled
- Quarterly review cadence
FAQ
Answers for plant operations, production and QA leadership.
Practical questions we hear from large-scale fortified staple manufacturers evaluating Meallions across multi-line and multi-site operations.
Pilot in 6 weeks
Turn fortified staple production into a traceable, certifiable process.
Use Meallions to connect nutrition targets, factory operations, QA evidence, and compliance reporting in one platform.