AI-powered platform for food extrusion

Meallions OS platform forfood manufacturing.

From R&D to intelligent production.

See how it works

Built with manufacturers, equipment OEMs and universities

PROCESS MNEMONIC · P&IDExtruder extruder-int-001 — twin-screw, 6 zones, 5 feeders · LINE-A / EXT-001FEEDER 1RICE FLOUR68.4WIF-101FEEDER 2SOY PROTEIN14.3WIF-102FEEDER 3STARCH9.57WIF-103FEEDER 4SUGAR4.37WIF-104FEEDER 5SALT MIX1.20WIF-105MOTORM-101GEARBOXG-101INTAKELEVEL 60%WI-201H₂O12.6 kg/hV-301VACTWIN SCREWTI211Zone 1 · FEEDCOOLHEAT42.9°CTI221Zone 2 · CONDCOOLHEAT86.0°CTI231Zone 3 · PLASTCOOLHEAT122.3°CTI241Zone 4 · VENTCOOLHEAT147.2°CTI251Zone 5 · MIXCOOLHEAT164.0°CTI261Zone 6 · METERCOOLHEAT151.2°CDIE HEADPT401149.8 °CCUTTER102.4 RPM→ PRODUCTCV-501SCREW SPEED85.9 RPMTORQUE3.2 AMotor OnFeeder OnCutter On
Meallions OS

From Recipe Design to Intelligent Production.

Meallions OS connects the entire food manufacturing ecosystem in one governed workflow—bringing together product requirements, formulation knowledge, process simulation, equipment behavior, verification, and production data.

It turns what teams learn in research and on the line into better decisions for the next recipe, the next run, and every connected production site. Experts stay in control while AI handles the repeatable work of moving from intent to production-ready action.

The core process

AI at the core of the platform.

01Shared knowledge base

Research + Learning

Shared knowledge base of verified research, ingredients, machinery, and connected-site production.

  • Combines verified research, ingredient, nutrition, machinery, and connected-site production.
  • Every new project and connected production site strengthens the shared knowledge base.

Research workspace · grounded formulation candidate

Meallions Data research workspace showing a Chocolate Amaranth Balls formulation report, ingredient breakdown, constraints, and knowledge-base chat
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Time and money savings

The old way vs. the digital twin.

Meallions OS moves repeatable R&D work into a subscription platform, so experts spend production line time verifying a better starting point.

01

Research

Traditional

2–4 weeks · $2,000

Digital twin

2–5 hours · Included

Start with a ranked, sourced hypothesis.

No blank-page research.

02

Recipe

Traditional

1–8 weeks · $6,000

Digital twin

1–2 days · Included

Rank candidates against technical, nutrition and cost constraints.

Iterate with BOM and nutrition together.

03

Simulation

Traditional

2–6 weeks · $7,000

Digital twin

1–3 hours · Included

Evaluate twin-screw behavior before scale-up.

Resolve more before committing line time.

04

Production

Traditional

4–9 weeks · $3,500

Digital twin

2–4 days · 1–2 runs

Start the line from evaluated parameters.

Confirm instead of discovering.

05

Release

Traditional

1–3 weeks · $1,500

Digital twin

1–2 hours · Records ready

Check the approved result against its targets.

Decision history stays connected.

Operational and business benefits

Faster R&D to scale

Time to scale

Lower total cost

Cost/kg and energy/kg

Consistent product quality

Yield and variation

Operator and QA control

Deviations and overrides

Ecosystem intelligence

Ecosystem improvement and ramp time

Measurable outcomes for a line-level pilot.

See how it works
Mission & vision

Hidden hunger is a manufacturing infrastructure problem.

Nearly two billion people get enough calories but not enough essential nutrients. Solving that at scale requires production systems that can adapt recipes, control extrusion, verify nutrient quality, and prove every batch.

Meallions mirrors food extrusion manufacturing in software — connecting ingredients, recipes, extrusion lines, QA, certificates, and traceability into one AI infrastructure layer, rooted in our mission to eliminate micronutrient deficiency.

Explore our impact work
Partners and evidence
University of Nairobi logo

University of Nairobi

Workforce training partner

Wilmar Business Indonesia logo

Wilmar Business Indonesia

Food manufacturing partner

Jinan DG Machinery Co. logo

Jinan DG Machinery Co.

Equipment partner

Start focused

Start with one use case. Validate on one line. Scale across production.

ResearchLearnDesignSimulateVerifyProduceScale