Equinom was founded 14 years ago on a single observation: food ingredientsare biological, but industrial production demands precision. Bridging that gaprequires more than better specifications - it requires intelligence grounded inbiology.
We started in food ingredient innovation, building deep expertise in plantproteins and grain-based systems. Along the way, we developed somethingrare: a genuine understanding of how ingredient biochemistry translates intoreal functional performance on the production floor.
Today, we build AI-powered decision software that transforms full-spectrumgrain and flour data into operational foresight for millers and industrial bakeries.
To turn natural variability into predictable performance.
Wheat will always vary by region, season, and climate. That variability cannot be eliminated - but it can be measured, classified, and managed deliberately.
Manna™ was built to make that possible.
We analyze the entire NIR spectral fingerprint - not isolated parameters. We connect that data to real milling and baking outcomes, not abstract predictions. And we build for production teams, quality managers, and procurement leaders - not data scientists.
This is not generic AI applied to agriculture. It is purpose-built intelligence for wheat and flour.
Manna™ for Wheat: Classify every lot by functional behavior. Make smarter decisions at intake, storage, blending, and procurement.
Manna™ for Bakers: Know how your flour will perform before the mixer starts. Improve efficiency, consistency, and profitability across lines and sites.