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• Light intensity gradients across a vertical farm can
be mapped and balanced—ensuring uniform
expression across every plant, not just those in ideal
zones.

With AI, we no longer have to guess which environmental
factors matter most.
We can rank them, weight them, and adjust for them—
automatically.

The End of the “Perfect Greenhouse” Fallacy

One of the great myths of biologic production is that if you
can just build the perfect facility—perfect light, perfect
airflow, perfect media—you’ll get perfect consistency.

But that dream is brittle.

It assumes control is linear. That systems don’t age. That
variability doesn’t creep.

AI replaces that brittleness with resilience.

Instead of chasing a static “ideal,” AI adapts the system to
real-world fluctuations. It creates tolerance zones. It detects
early drift. It closes feedback loops faster than any human
operator ever could.

And in doing so, it makes environmental variability
invisible to the drug.

The patient doesn’t care whether the protein came from a
farm in Massachusetts or a vertical stack in Singapore.
What matters is that the final product—its folding, its
function, its immune profile—is the same.

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