ChatGPT for DNA.

AI-powered DNA analysis

ChatGPT for DNA.


No-code genomic workflows.

Launch robust analysis pipelines for DNA data. No programming required.

Launch robust analysis pipelines for DNA data. No programming required.

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a group of white balloons floating in the air
a group of white balloons floating in the air
a group of white balloons floating in the air
a group of white balloons floating in the air
a group of white balloons floating in the air
a group of white balloons floating in the air
a group of white balloons floating in the air
a group of white balloons floating in the air
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closeup photography of water bubble
closeup photography of water bubble

Chat with your DNA

What variants are linked to response?

What does this DNA sequence come from?

Can you make a Manhattan plot of the results?

What variants are linked to response?

What does this DNA sequence come from?

Can you make a Manhattan plot of the results?

Built for scientists, powered by transformers.

Powered by DNA-trained GPTs that understand your sequencing data.

Powered by DNA-trained GPTs that understand your sequencing data.

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About us

We’re a team of scientists and engineers based in San Francisco. With over 15 years of experience at biotech leaders like Freenome, Natera, and Avida Bio, and 10+ years advancing AI at companies such as Meta and Qeexo, we combine biology and machine learning expertise to revolutionize the way scientists interact with their omics data.

We’re a team of scientists and engineers based in San Francisco. With over 15 years of experience at biotech leaders like Freenome, Natera, and Avida Bio, and 10+ years advancing AI at companies such as Meta and Qeexo, we combine biology and machine learning expertise to revolutionize the way scientists interact with their omics data.

We’re a team of scientists and engineers based in San Francisco. With over 15 years of experience at biotech leaders like Freenome, Natera, and Avida Bio, and 10+ years advancing AI at companies such as Meta and Qeexo, we combine biology and machine learning expertise to revolutionize the way scientists interact with their omics data.

UCSF

Carnegie Mellon

MIT

Moscow State

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