Reina's family waited 13 years for a real answer. Test after test returned "Variant of Uncertain Significance" — the genome was there, but not the interpretation her clinicians needed. Her parents kept pushing through dead ends, records, and uncertainty because stopping wasn't an option. When interpretation finally connected the evidence to her clinical picture, she received a diagnosis: X-linked Houge-type syndromic intellectual developmental disorder.
For the first 4 years of his life, Bertrand had seizures, missed every milestone, and could not cry — and no one could explain why. His parents taught themselves biochemistry, worked with specialists at the NIH, and mapped protein pathways by hand until the trail led to one gene: NGLY1 deficiency. His father found the missing compound, tested it on himself first, then gave it to his son. Three days later, Bertrand cried real tears for the first time.
Know moreOne interpretation changed everything for these families. 300-400 million people worldwide are still waiting for theirs.
This is the part of healthcare most people never see.
Sequencing isn't the bottleneck anymore.
Interpretation and throughput are.
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.
That's why we built
Not another “healthcare AI.”
Not another dashboard.
the missing layer between
raw genomic data and real clinical decisions.
and instead of a wall of uncertainty, they see structured evidence, clear reasoning and transparent logic.
This isn't optional. Millions of genomes are being sequenced. Interpretation is the bottleneck. We're building an AI interpretation engine that turns raw variants into fast, consistent, auditable clinical decisions.
If this story stays with you, and you believe interpretation should never be the reason a child waits, and you want to help build something that becomes infrastructure, not noise,
