
Flour that meets the same protein and moisture targets can behave very differently in your process. Traditional tools describe composition. They don't predict performance.
Manna™ translates the full NIR spectral fingerprint of every lot into process-specific guidance – before production begins.
No buffers. No guesswork. No reactive corrections.
Capture full-spectrum NIR data for every flour lot inseconds - using a compact, handheld device.
AI models classify expected functional behavior based on spectral data, lab measurements, and real baking performance.
Receive clear recommendations, including water and mixing adjustments, before the flour enters production.
In seconds, users understand how a lot of wheat grains or flour will function before it enters production.
Thin margins. Tight tolerances. No room for surprises. Manna™ fits into your existing workflow and delivers the foresight to operate confidently - built for high-speed industrial environments.
Each scan strengthens the model. Variability doesn't disappear – it becomes something you can act on.
This isn't about perfect flour. It's about predictable performance. See it in action.