The World’s First AI-Driven Cannabis Seed-Sorting System Is Here

As CEO and co-founder of Innexo, Dominique van Gruisen leads one of
Europe’s most advanced cannabis research and development facilities, where
cultivation science meets pharmaceutical precision. Innexo is a Dutch
cannabis contract research organization that designs and conducts
cultivation and technology trials for clients across the cannabis sector,
helping companies test innovations under controlled, data-rich conditions.

His impressive career in cannabis spans two decades and encompasses Belgian
patient advocacy and clinician networks, as well as European biotech
lobbying and cultivation consulting on both sides of the Atlantic. Van
Gruisen’s goal is ambitious: to take cannabis beyond cultivation and into a
world of validated data, reproducible genetics and true pharmaceutical
reliability, which demands consistency. So, how do you do that?
*dutch treat.* Headquartered in the picturesque village of Meterik, in The
Netherlands, Innexo partnered with sister companies Innoveins Seed
Solutions and SeQso to develop the planet’s very first AI-driven
seed-sorting system.

Based in Meterik, a village in The Netherlands, Innexo is conducting
independent trials on lighting, nutrients and genetics in an effort to
generate measurable, reproducible data that brings cultivation closer to
pharmaceutical standards. And through some key partnerships, they’ve come
up with some profound techniques. The research center is currently working
with Las Vegas-based lighting company Fohse, examining how precision
lighting from their Cobra LED system affects plant structure, cannabinoid
expression and energy efficiency.

“We’re using the Cobra Pros, and soon we’ll have tunable-spectrum models
from Fohse,” van Gruisen says. “They have sensors that constantly read the
natural light in the greenhouse and adjust automatically. If we can work
with a dynamic spectrum that mirrors the sun, we can replicate the same
conditions anywhere on Earth, in any season.”

The study benchmarks a range of metrics—from cannabinoid and terpene
expression to morphology and energy use—to quantify how light affects
consistency. “Their system fills your stack with data,” van Gruisen says.
“That’s what we’re after: information that lets us build validated
cultivation models rather than assumptions.”
Fohse’s Michael Rosenfeld admires the latest grow

Lighting defines the environment; genetics define the foundation. To
address that, Innexo partnered with sister companies Innoveins Seed
Solutions and SeQso to develop—wait for it—the world’s first AI-driven
seed-sorting system for cannabis.

“They collect the spectral data of each seed in a non-destructive way,” van
Gruisen says. “Then they grow that seed, record its traits, feed those
traits back into the system and the algorithm learns which spectral
patterns predict which plant characteristics.”

When he first heard of the technology, van Gruisen says, “I literally
pulled my car over to call people.” Tests confirmed it worked for cannabis,
opening the door to non-destructive quality-control certification at the
seed level. “If there’s something you can distinguish, you can design a
seed-sorting algorithm and push a batch through to separate the good from
the bad,” he says.

The implications of this technology stretch beyond yield. AI analysis can
detect pathogens such as hop latent viroid and certify genetic quality
before cultivation begins. “Companies are developing F1 hybrids—stabilized
lines,” van Gruisen says. “By scanning the seeds, you can fine-tune even
further so your starting material is as robust as it can be.”
“By scanning seeds, you can fine-tune even further so your starting
material is as robust as it can be,” van Gruisen says.

Van Gruisen believes AI-based seed fingerprinting could also reduce the
industry’s dependence on cloning. “Even when you use clones, you still find
big deviations in secondary metabolites depending on the season or
humidity,” he says. “It’s very difficult to provide a consistent product in
flower form.” Regulatory frameworks, he notes, demand pharmaceutical
precision.

“When regulators say cannabis has to be a medicine, they mean it should be
98 to 102 percent consistent with what’s on the label,” he says. “That’s
almost impossible with a natural product. But with solid F1 hybrid genetics
that start from seed, you add another quality-control checkpoint.”

For cultivators, F1 seeds offer cleaner starts, lower costs and easier
scalability. For patients, they promise reliability—the same genetics, the
same relief—every time.

Van Gruisen describes Innexo as a link between two sectors that rarely
speak the same language. “Growers talk in grams per square meter,” he says.
“Pharma talks in validated datasets and deviation tolerances. We sit in the
middle, making those conversations possible.”

That bridge extends beyond technology. Innexo is also reviving iconic
legacy cannabis genetics—long-flowering, terpene-rich cultivars—and
reintroducing them through advanced lighting and AI-guided cultivation. He
aims to right some of the wrongs the industry has made. “We took a lot of
wrong turns with cannabis in the last 20 years,” he says. “It’s time to
rediscover what made this plant valuable in the first place and do it with
proper science.”

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