Pete Eliason
Two decades running commercial grows. Pete translates what master growers know intuitively into models a machine can actually learn from.
The group that has spent the last several years turning hard-won grow-room knowledge into a working intelligence platform — under the TALLGRASS.AI banner, the improved-outcome company.
Two decades running commercial grows. Pete translates what master growers know intuitively into models a machine can actually learn from.
Built the QRA workflow around real crews on real floors — where gloves, humidity and shift change decide whether software gets used.
Brings process control from regulated manufacturing into cultivation, turning quality from a tasting note into a measurable specification.
Leads the modeling work: attribution, forecasting and the per-farm algorithms that keep sharpening with every harvest.
Nothing ships until it survives a real cycle on a real farm. Our team spends as much time in flower rooms as in notebooks, because a model that ignores how the work actually happens will never be used.
We sit with your crew through a full cycle during onboarding.
Every claim we make is testable against your own harvest data.
Your model, your data, your competitive advantage — not a shared pool.