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.
Shared knowledge base of verified research, ingredients, machinery, and connected-site production.
Every project and site strengthens the platform.
Meallions OS moves repeatable R&D work into a subscription platform, so experts spend production line time verifying a better starting point.
Traditional
2–4 weeks · $2,000
Digital twin
2–5 hours · Included
Start with a ranked, sourced hypothesis.
No blank-page research.
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.
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.
Traditional
4–9 weeks · $3,500
Digital twin
2–4 days · 1–2 runs
Start the line from evaluated parameters.
Confirm instead of discovering.
Traditional
1–3 weeks · $1,500
Digital twin
1–2 hours · Records ready
Check the approved result against its targets.
Decision history stays connected.
Every project and connected production site strengthens the shared knowledge base, so the next recipe and the next run start from a better position.
Move from research through digital validation and line trials to controlled scale-up.
Time to scale
Optimize raw-material cost, energy, yield, and waste while protecting quality.
Cost/kg and energy/kg
Respond earlier to ingredient variability and emerging process drift.
Yield and variation
Maintain human approvals, confidence thresholds, overrides, and audit-ready records.
Deviations and overrides
Every project and production site improves shared recipes, models, and operating decisions.
Ecosystem improvement and ramp time
