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You need predictive, adaptive intelligence.

That’s where AI comes in—not as an add-on, but as the
digital nervous system of the entire platform.

How AI Powers the Edible Biologics Pipeline

1. Gene Design and Codon Optimization

Plants don’t speak human DNA natively. Each species has
its own preferences—codon usage bias, epigenetic triggers,
intracellular targeting pathways.

AI models:

• Translate human genes into plant-compatible
sequences.
• Predict expression levels based on codon choice
and mRNA stability.
• Balance yield and folding efficiency, adjusting for
metabolic stress within the host.
• Simulate alternate constructs to identify the most
promising design—before a single leaf is grown.

This turns gene synthesis from a guessing game into a
data-driven design process, dramatically reducing trial-
and-error cycles.

2. Protein Folding and Glycoengineering

A functional biologic isn’t just a string of amino acids. It’s
a three-dimensional sculpture, folded precisely and
modified post-translationally.

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