Fundraise

Codebreaker Labs raises $4.5M seed to build data for genomic AI

What's the deal? Codebreaker LabsDealroom has a profile for this one. Try Dealroom →, a Boulder-based genomic AI company, has raised US$2.91M seed round led by KickstartDealroom has a profile for this one. Try Dealroom →. The money will fund laboratory scale-up, scientific hires, and development of the company's first variant Atlases and AI interpretation tools.

What's the endgame? Codebreaker introduces individual genetic variants into disease-relevant human cells and measures their effects at genome-scale. That functional evidence aims to strengthen variant interpretation and train more capable genomic AI models.

Why now? Sequencing has made reading DNA routine, but understanding how genetic changes affect health remains hard. "Genomic AI needs more than DNA sequences. It needs to learn from what genetic changes actually do in human cells," said co-founder and chief executive officer Ryan T. Gill.

The round included continued backing from Buff Gold VenturesDealroom has a profile for this one. Try Dealroom → and Children's Hospital ColoradoDealroom has a profile for this one. Try Dealroom →, alongside new investors Denver VenturesDealroom has a profile for this one. Try Dealroom →, Service Provider Capital, and Pelican Trust, an affiliate of chairman Sandy Zweifach.

Codebreaker is building its first Atlas through a collaboration with a children's hospital, focused on immunology and blood cancers. That first commercial Atlas, targeted for 2027, is designed to measure the effects of 100,000 genomic variants. Each Atlas pairs a curated dataset of measured variant effects with AI models trained on the data.

The signal: As genomic AI advances, experimental data becomes the scarce asset. "We see an opportunity to build a differentiated data company whose value compounds with every experiment," said Dalton Wright, general partner at Kickstart. At $4.5 million, the round sits in the top fifth of seed deals by size — a bet that proprietary biological data, not model architecture, is where value accrues.

Read more: einpresswire.com

Image credit: Centers for Disease Control and Prevention

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