FeedPi
Stochastic Optimisation Engine

AI Feed Formulation

Formulate least-cost, nutrient-compliant feed recipes in seconds — not hours. FeedPi’s stochastic engine runs 10,000+ Monte Carlo simulations per solve, accounting for raw material nutrient variability at 95% confidence. Integrates live NIR assay data, resolves infeasible constraints automatically, and re-optimises in real time as ingredient prices shift.

₹1.2–2.4/kgaverage feed cost reduction

Key Capabilities

Stochastic Least-Cost Optimisation

Goes beyond deterministic LP. Runs Monte Carlo simulations over nutrient distributions so your recipe meets specifications even when raw material quality varies batch to batch.

95% Nutrient Confidence Bands

Every solved formula shows upper and lower nutrient bounds at 95% confidence. Nutritionists see exactly where risk sits — no more guessing on safety margins.

Live NIR Assay Integration

Pulls real-time Near-Infrared Reflectance data from your lab instruments. Nutrient matrices update automatically — no manual entry, no stale book values.

Automatic Infeasibility Resolution

When constraints conflict, the solver identifies the binding constraint set and suggests the minimum relaxation needed — ranked by cost impact — so you stay compliant without over-spending.

Multi-Species & Multi-Phase Libraries

Pre-loaded nutrient requirement libraries for poultry (broiler, layer, breeder), swine, dairy, aqua, and pet food — each with phase-specific targets from starter through finisher.

Real-Time Price Re-Optimisation

Connect commodity feeds or enter spot prices. The engine re-solves open formulas instantly when soybean meal, maize, or fishmeal prices change — showing the cost delta per tonne.

What this looks like in FeedPi

The actual interface. No stock photos.

Monte Carlo simulation chart showing nutrient probability distributions for crude protein and metabolisable energy
Ingredient nutrient matrix editor with live NIR values highlighted and cost-per-tonne column

Teams on FeedPi say

We dropped our safety margins from 8% to 3% on methionine alone — the Monte Carlo bands gave us the confidence to do it. That saved ₹1.8 lakh/month.

Head Nutritionist, 50 TPD Poultry Mill

When soya prices spiked 12% in a week, I re-optimised 14 formulas in one click. The engine swapped in rapeseed meal where it could and showed me the exact cost impact.

Procurement Manager, Integrated Feed Company

NIR results flow straight into the matrix now. I used to spend 45 minutes a day copying numbers from the instrument printout — that's gone.

QC Lab Technician

Works with every other module

See AI Feed Formulation in action

14-day free trial. No credit card. Go live in days, not months.

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