Imagine being a parent& knowing the answer existsbut no one can give it to you.
For 13 years,
Reina lived inside
that gap.
This is the part of healthcare most people never see.
Genomics didn’t fail Rena.
Interpretation did.
Today, millions of genomes are sequenced every year. Labs are drowning in variants. Variant scientists are exhausted.
Manual curation is slow, inconsistent, and impossible to scale.
The result isn’t abstract.
It’s delayed diagnoses.
It’s families waiting.
It’s lives paused in uncertainty.
That’s why we built
GeneGenius.
Not another “healthcare AI.”
Not another dashboard.
We’re building an interpretation engine
the missing layer between
raw genomic data and real clinical decisions.
A system that:
Reads and reasons through variants at machine scale
Applies clinically aligned logic consistently
Surfaces evidence transparently and audibly
Keeps humans in control, but no longer buried
So far, this isn’t a vision
it’s happening.
We’ve built working systems.
We’ve benchmarked against thousands of expert-curated variants.
We’ve proven the economics make sense.
We’ve shown interpretation doesn’t have to take weeks or months.
This is what it looks like when genomics
finally moves at the speed patients need.
Close your eyes and picture this:
A clinician opens a case.
Instead of a wall of uncertainty, they see structured evidence.
Confidence
not
guesswork.
That’s the future we’re building.

This isn't optional. Millions of genomes are being sequenced. Interpretation is the bottleneck. I'm Faraz, COO at GeneGenius. We're building an AI interpretation engine that turns raw variants into fast, consistent, auditable clinical decisions.
If this story stays with you
If you believe interpretation should never be the reason a child waits
If you want to help build something that becomes infrastructure, not noise