Wheat that meets the same protein and grade targets can behave very differently in your mill. Traditional tools describe composition. They don't predict blending behavior, or flour consistency.
Manna™ translates the full NIR spectral fingerprint of every lot into operational guidance, before it enters your process.
No over-blending. No unnecessary high-protein inclusion. No silo decisions made blind.
Capture full-spectrum NIR data at intake using your existing device.
AI models classify expected milling and flour performance based on spectral data, lab measurements, and historical production outcomes.
Receive clear recommendations for silo allocation, blending strategy, substitution decisions, and procurement, before the lot enters production.
In seconds, users understand how a lot of wheat grains or flour will function before it enters production.
Group lots by expected milling and flour performance, not just protein and grade.
Identify atypical lots immediately upon arrival.
Allocate silos and design blends based on functional similarity.
Compare wheat lots based on expected performance impact, not price and protein alone.
High volatility. Narrow margins. Faster procurement cycles. Manna™ fits into your existing workflow and enables you to deliberately manage variability, instead of buffering against it.
Lower Operational Costs
Reduced Wheat Purchasing Costs
More Consistent Flour Quality.
Every harvest is different. Every lot strengthens the model. Variability doesn't disappear, it becomes something you can act on.
This isn't about perfect wheat. It's about predictable performance. See it in action.
Equinom Ltd.
Givat Brenner,
6094800, Israel
Equinom Inc.
Indianapolis, IN
46236, USA
Equinom Ltd.
Givat Brenner,
6094800, Israel
Equinom Inc.
Indianapolis, IN
46236, USA