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Satisfy Your Soul with the Spirit of the Apple

Predictive BIological Intelligence

Panache uses non-destructive sensing and machine learning to predict internal fruit quality and support better decisions across the supply chain.

 

Fruit quality is difficult to assess

Most fruit quality decisions are still based on external appearance, spot checks, and destructive testing methods that provide limited visibility into internal quality.

Internal quality can vary significantly within a lot, and existing methods often do not provide enough insight early enough to guide key decisions.

As a result, storage, packing, and allocation decisions are frequently made with incomplete information, leading to variability, inefficiencies, and lost value across the supply chain.

 
 

One scan. Full intelligence.

Scan

Non-destructive sensing captures internal quality signals without cutting the fruit.

Interpret

Models analyze patterns to estimate quality attributes and variability.

Decide

Insights support better decisions across harvest, storage, packing, and distribution.

 
 

More informed decisions across the supply chain

The platform combines sensing hardware with data models to translate scan data into usable insight for harvest, storage, packing, and allocation decisions before fruit moves further downstream and is designed to integrate into existing workflows without disrupting current operations. Panache is designed to support better decisions at multiple stages of the fruit journey.

Harvest & Early Decisions

Support picking, sorting, and early end-use decisions based on internal quality signals.

Storage & Packing

Identify potential quality issues and improve lot segmentation, storage strategy, and packing decisions.

Distribution & Retail

Align fruit quality with the right downstream channels to reduce variability, protect shelf life, and improve consistency at retail.

 
 

Built on validation, not assumption

Panache is being developed and tested in commercial fruit environments, where early modeling has demonstrated approximately 85% predictive accuracy in selected quality outcomes.

 
 

*As validation continues, the platform is designed to improve forecasting accuracy and strengthen confidence in downstream decision-making. Results may vary depending on crop, conditions, and deployment context.

 

Work with Panache

Learn more about the platform, validation efforts, and opportunities to partner, invest, or deploy Panache across the supply chain.