Panache

Problem we are solving — Multi-million dollar decisions across the fresh produce supply chain are still made using subjective sampling and limited data. Operators lack visibility into key internal fruit attributes like maturity, shelf life, and end-use performance, resulting in inefficient allocation, preventable waste, and lost revenue. Without predictive biological insight, it is nearly impossible to optimize harvest, storage, and distribution decisions at scale.

Current traction — We have developed a working prototype that combines non-invasive sensing with machine learning to generate predictive biological insights, and are preparing for our first paid commercial pilot season. We currently have 6 signed LOIs across orchards and 2 packing houses in the U.S., with additional operators expressing strong interest for the 2026 season. Early validation has demonstrated strong alignment between predicted and real-world outcomes (~85% prediction accuracy) in controlled environments. Initial pilots will focus on apples, with expansion into larger growing regions and additional crops. The platform is delivered as a subscription priced per acre under intelligence.

Founder: Alora Frederick · LinkedIn: https://www.linkedin.com/in/alorafrederick/

Multi-million dollar decisions across the fresh produce supply chain are still made using subjective sampling and limited data. Operators lack visibility into key internal fruit attributes like maturity, shelf life, and end-use performance, resulting in inefficient allocation, preventable waste, and lost revenue. Without predictive biological insight, it is nearly impossible to optimize harvest, storage, and distribution decisions at scale.