01
Launch new products and reformulations faster
For food producers and contract manufacturers
Move from product idea to verified production—on the line you already operate.
Meallions connects product requirements, formulations, equipment behavior, QA, and production data in one governed workflow. Develop faster, reduce unnecessary physical trials, and scale with equipment-specific recipes and operating windows.
Start with one SKU, one production challenge, and one line.
Recipe → certified batch
Illustrative example
- 01Requirement set · Nutrition, sensory, cost, lineGenerated
- 02Ranked candidate · C-014 · score 0.91Generated
- 03Line simulation · Window: 118–126 °C, 22% moistureSimulated
- 04Expert approval · R&D + QA sign-offExpert-controlled
- 05Confirmation run · 1 run, 320 kgPhysically validated
- 06Batch release · Recipe v3 · lots · telemetry · QAProduction verified
Generated is not verified. Simulated is not production-proven.
Who might benefit from the platform
- Food manufacturers
- Cereal and snack producers
- Fortified staple producers
- Pet food and animal feed manufacturers
- Contract manufacturers and co-packers
- Multi-site food manufacturing groups
Customer tasks
What these teams need to solve.
02
Reduce physical trials and production-line interruptions
03
Translate recipes into equipment-specific production settings
04
Optimize quality, nutrition, cost, energy, yield, and waste together
05
Adapt recipes to ingredient and supplier variability
06
Maintain consistent production across shifts, lines, and sites
07
Preserve QA approvals, deviations, and batch traceability
08
Reuse knowledge from every verified production run
Value proposition
One governed workflow from product requirement to certified batch.
Meallions turns product and business requirements into ranked recipe candidates, evaluates them on the target equipment, supports expert-controlled physical verification, and connects approved results with production telemetry and QA records.
Faster R&D-to-scale
Move from requirement to an approved production package without restarting work at every handover.
Fewer weak candidates reaching the line
Screen candidates digitally so line time is spent confirming, not searching.
Equipment-specific scale-up
Recipes carry the operating window of the extruder and line they are intended to run on.
Better production economics
Evaluate raw-material cost, energy, yield, and waste alongside quality and nutrition.
Repeatable quality and traceability
Approvals, deviations, telemetry, and batch records stay connected to the recipe version.
Relevant modules
The parts of Meallions OS this segment uses.
Research + Learning
Structured research, ingredient and supplier specifications, prior projects, equipment knowledge, and reviewed production results in one workspace.
Recipe Builder
Generates and ranks candidates against nutrition, sensory, regulatory, cost, ingredient availability, yield, and processability constraints.
Digital Twin
Simulates a selected candidate on the target line and predicts a feasible operating window.
Verification
Compares predicted and measured results, preserves approvals, and blocks candidates outside agreed limits.
Production
Transfers approved recipes and setpoints to production while capturing telemetry, deviations, QA results, and batch records.
How the workflow operates
One governed sequence, end to end.
Product and commercial targetsRanked recipe candidatesEquipment-specific simulationExpert approvalControlled confirmation runQA verificationApproved production packageProduction learning returned to the platform
Practical use cases
Where teams start.
New product development
Move from nutrition, sensory, cost, and equipment requirements to a production-ready candidate.
Product reformulation
Reduce sugar, increase protein, replace ingredients, or lower cost while protecting quality and throughput.
Line transfer and scale-up
Adapt an existing recipe to a different extruder, capacity, production site, or equipment configuration.
Ingredient variability
Evaluate alternative suppliers or local raw materials before they create production problems.
Production optimization
Improve yield, energy consumption, throughput, waste, and process stability within approved limits.
Verified batch release
Connect recipe version, ingredient lots, setpoints, telemetry, laboratory results, deviations, and approvals.
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.
Time to scale
Number of candidates evaluated
Number of physical confirmation runs
Cost per kilogram
Energy per kilogram
Yield and waste
Product and process variation
Ramp-up time
Deviations and overrides
Prediction-versus-actual difference
QA review and release time
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
- Generate and rank recipe candidates against your constraints
- Simulate candidates on the target line and propose operating windows
- Watch telemetry against approved limits and flag deviations
- Keep documentation, versions, and batch records connected
What experts control
- Set product, quality, cost, and commercial objectives
- Approve candidates, setpoints, and confirmation runs
- Own food safety, regulatory compliance, and QA judgment
- Decide exceptions, overrides, and product release
Experts control objectives, scientific judgment, exceptions, safety, approval, and product release. Meallions does not release products automatically.
Platform and showcase
Go deeper.
Showcase scenarios
Fortified chocolate amaranth cereal, fortified rice kernels, and a high-protein reduced-sugar snack — with their evidence labels preserved.
Operations
Line-side view for process engineering and operations teams.
Quality
QA-side view of approvals, deviations, and batch evidence.
Enterprise
Multi-site view for groups standardizing across plants.
Food Manufacturers
Start with one SKU, one challenge, and one line.
We scope a line-level pilot around the product you are already trying to develop, reformulate, or stabilize — and the indicators your team already tracks.