Niterra partnered with PIPA to improve shrimp taste and consumer acceptance by optimizing feed formulation and recirculating aquaculture system parameters. The goal was to translate fragmented scientific knowledge into a practical, data-backed system that could guide operational decisions at scale.
Approach
PIPA used its LEAP platform to integrate aquaculture literature, biological pathway analysis, and machine learning models. The analysis connected feed composition, metabolic pathways, and RAS operating conditions to sensory outcomes, enabling a holistic view of how upstream decisions influence shrimp flavor.
The project delivered clear, actionable recommendations that improved product quality and commercial potential.
Results and Impact
46% improvement in shrimp taste based on project-defined sensory standards
23 data-driven feed and RAS parameter configurations recommended for implementation
A scalable framework for continuously optimizing flavor and process performance in aquaculture operations
A perspective from the Niterra team
“Excellent teamwork with PIPA to articulate and prioritize our project goals prior to leveraging LEAP™, PIPA’s proprietary AI platform, to provide a focused and deep understanding of our target design space.”
Jeffrey Roe, General Manager of Smart Health, Niterra Ventures
Technologies
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