Anthrogen is building the network behind biological intelligence.

We are an AI-research lab building a complete network
for biologics discovery and development. So far, we've built the best
protein generation engine, Odyssey, which can reason across modalities.

We ground this in massively parallelized experimentation to solve the
asymmetry of verification issue in discovery.

In short, we're a group of scientists generating and validating molecular
machines for human and planetary health. At atomic scale. With
unprecedented control.


Contact Us.

Anthrogen is building the network behind
biological intelligence.

We are an AI-research lab building a
complete network for biologics discovery
and development. So far, we've built the best
protein generation engine, Odyssey, which
can reason across modalities.

We ground this in massively parallelized
experimentation to solve the asymmetry
of verification issue in discovery.

In short, we're a group of scientists generating
and validating molecular machines for human
and planetary health. At atomic scale. With
unprecedented control.


Contact Us.

Anthrogen is building the network behind
biological intelligence.

We are an AI-research lab building a
complete network for biologics discovery
and development. So far, we've built the best
protein generation engine, Odyssey, which
can reason across modalities.

We ground this in massively parallelized
experimentation to solve the asymmetry
of verification issue in discovery.

In short, we're a group of scientists generating
and validating molecular machines for human
and planetary health. At atomic scale. With
unprecedented control.


Contact Us.

Anthrogen is building the network behind biological intelligence.

We are an AI-research lab building a complete network
for biologics discovery and development. So far, we've built the best
protein generation engine, Odyssey, which can reason across modalities.

We ground this in massively parallelized experimentation to solve the
asymmetry of verification issue in discovery.

In short, we're a group of scientists generating and validating molecular
machines for human and planetary health. At atomic scale. With
unprecedented control.


Contact Us.

Research Note

Research Note

Research Note

Research Note

We release Odyssey, a family of protein language models
scaled to 102 billion parameters. It allows for multi-objective
design goals. We introduce novel architectural frameworks
for more robust scaling and generalization. API is in early access.

We release Odyssey, a family of protein language models
scaled to 102 billion parameters. It allows for multi-objective
design goals. We introduce novel architectural frameworks
for more robust scaling and generalization. API is in early access.

We release Odyssey, a family of protein
language models scaled to 102 billion
parameters. It allows for multi-objective
design goals. We introduce novel architectural
frameworks for more robust scaling and
generalization. API is in early access.

We release Odyssey, a family of protein language models
scaled to 102 billion parameters. It allows for multi-objective
design goals. We introduce novel architectural frameworks
for more robust scaling and generalization. API is in early access.

Team

Team

Team

Team

Ankit Singhal
CEO, Co-founder
Science Research Fellow and Named Scholar of
Columbia University.
Biophysics and Applied Math at Columbia College.
Previously worked on non-hemolytic peptide design
with GANs, protein thermostability, chemical assays.

Ankit Singhal
CEO, Co-founder
Science Research Fellow and Named Scholar of
Columbia University.
Biophysics and Applied Math at Columbia College.
Previously worked on non-hemolytic peptide design
with GANs, protein thermostability, chemical assays.

Ankit Singhal
CEO, Co-founder
Science Research Fellow and Named Scholar of
Columbia University.
Biophysics and Applied Math at Columbia College.
Previously worked on non-hemolytic peptide design
with GANs, protein thermostability, chemical assays.

Ankit Singhal
CEO, Co-founder
Science Research Fellow and Named Scholar of
Columbia University.
Biophysics and Applied Math at Columbia College.
Previously worked on non-hemolytic peptide design
with GANs, protein thermostability, chemical assays.

Connor Lee
CTO, Co-founder
Sarah E. Grant Scholar of Columbia University.
Applied Math and Robotics at Columbia Engineering.
Previously worked on stroke rehabilitation prosthetic
robots and novel hardware-software LIDAR sensing methods.

Connor Lee
CTO, Co-founder
Sarah E. Grant Scholar of Columbia University.
Applied Math and Robotics at Columbia Engineering.
Previously worked on stroke rehabilitation prosthetic
robots and novel hardware-software LIDAR sensing methods.

Connor Lee
CTO, Co-founder
Sarah E. Grant Scholar of Columbia University.
Applied Math and Robotics at Columbia Engineering.
Previously worked on stroke rehabilitation prosthetic
robots and novel hardware-software LIDAR sensing methods.

Connor Lee
CTO, Co-founder
Sarah E. Grant Scholar of Columbia University.
Applied Math and Robotics at Columbia Engineering.
Previously worked on stroke rehabilitation prosthetic
robots and novel hardware-software LIDAR sensing methods.

Steven Strutt
Head of Platform
Molecular and Cell Biology at the Doudna Lab of
UC Berkeley.
Previously worked on protein assay development, high-
throughput workflows, functional genomics, and
CRISPR-cas9.

Steven Strutt
Head of Platform
Molecular and Cell Biology at the Doudna Lab of
UC Berkeley.
Previously worked on protein assay development, high-
throughput workflows, functional genomics, and
CRISPR-cas9.

Steven Strutt
Head of Platform
Molecular and Cell Biology at the Doudna Lab of
UC Berkeley.
Previously worked on protein assay development, high-
throughput workflows, functional genomics, and
CRISPR-cas9.

Steven Strutt
Head of Platform
Molecular and Cell Biology at the Doudna Lab of
UC Berkeley.
Previously worked on protein assay development, high-
throughput workflows, functional genomics, and
CRISPR-cas9.

Shyam Venkatasubramanian
Head of Technical Staff
ECE at the Tarokh Lab of Duke University.
Previously worked on novel neural network optimization and
training modalities, deep learning, and information theory.

Shyam Venkatasubramanian
Head of Technical Staff
ECE at the Tarokh Lab of Duke University.
Previously worked on novel neural network optimization and
training modalities, deep learning, and information theory.

Shyam Venkatasubramanian
Head of Technical Staff
ECE at the Tarokh Lab of Duke University.
Previously worked on novel neural network optimization and
training modalities, deep learning, and information theory.

Shyam Venkatasubramanian
Head of Technical Staff
ECE at the Tarokh Lab of Duke University.
Previously worked on novel neural network optimization and
training modalities, deep learning, and information theory.

Sean Moushegian
Founding Member of Technical Staff
ECE at the Tarokh Lab of Duke University.
Previously worked on diffusion models and
score-based quickest change detection.

Sean Moushegian
Founding Member of Technical Staff
ECE at the Tarokh Lab of Duke University.
Previously worked on diffusion models and
score-based quickest change detection.

Sean Moushegian
Founding Member of Technical Staff
ECE at the Tarokh Lab of Duke University.
Previously worked on diffusion models and
score-based quickest change detection.

Sean Moushegian
Founding Member of Technical Staff
ECE at the Tarokh Lab of Duke University.
Previously worked on diffusion models and
score-based quickest change detection.

Michael Lin
Member of Technical Staff
Mathematics at Duke and Princeton University.
Previously worked on black-hole geometry in
general relativity and as a quantitative trader at IMC.

Michael Lin
Member of Technical Staff
Mathematics at Duke and Princeton University.
Previously worked on black-hole geometry in
general relativity and as a quantitative trader at IMC.

Michael Lin
Member of Technical Staff
Mathematics at Duke and Princeton University.
Previously worked on black-hole geometry in
general relativity and as a quantitative trader at IMC.

Michael Lin
Member of Technical Staff
Mathematics at Duke and Princeton University.
Previously worked on black-hole geometry in
general relativity and as a quantitative trader at IMC.

Mir Park
Member of Technical Staff
Mathematics and CS at MIT.
3x USA(J)MO qualifier (top 250 in the country), previously
worked on magnetic field stabilization systems for
quantum gas experiments.

Mir Park
Member of Technical Staff
Mathematics and CS at MIT.
3x USA(J)MO qualifier (top 250 in the country), previously
worked on magnetic field stabilization systems for
quantum gas experiments.

Mir Park
Member of Technical Staff
Mathematics and CS at MIT.
3x USA(J)MO qualifier (top 250 in the country), previously
worked on magnetic field stabilization systems for
quantum gas experiments.

Mir Park
Member of Technical Staff
Mathematics and CS at MIT.
3x USA(J)MO qualifier (top 250 in the country), previously
worked on magnetic field stabilization systems for
quantum gas experiments.

Investors

Investors

Investors

Investors

Box Group
New York, NY
www.boxgroup.com

Box Group
New York, NY
www.boxgroup.com

Box Group
New York, NY
www.boxgroup.com

Box Group
New York, NY
www.boxgroup.com

Collab Fund
New York, NY
www.collabfund.com

Collab Fund
New York, NY
www.collabfund.com

Collab Fund
New York, NY
www.collabfund.com

Collab Fund
New York, NY
www.collabfund.com

Chris Howard (Ritual)
San Francisco, CA
www.ritualcapital.com

Chris Howard (Ritual)
San Francisco, CA
www.ritualcapital.com

Chris Howard (Ritual)
San Francisco, CA
www.ritualcapital.com

Chris Howard (Ritual)
San Francisco, CA
www.ritualcapital.com

Liquid 2 Ventures
San Francisco, CA
www.liquid2.vc

Liquid 2 Ventures
San Francisco, CA
www.liquid2.vc

Liquid 2 Ventures
San Francisco, CA
www.liquid2.vc

Liquid 2 Ventures
San Francisco, CA
www.liquid2.vc

Paul Graham
Co-founder of Y Combinator
Paul Graham

Paul Graham
Co-founder of Y Combinator
Paul Graham

Paul Graham
Co-founder of Y Combinator
Paul Graham

Paul Graham
Co-founder of Y Combinator
Paul Graham

Regen Ventures
Byron Bay, Australia
www.regen.vc

Regen Ventures
Byron Bay, Australia
www.regen.vc

Regen Ventures
Byron Bay, Australia
www.regen.vc

Regen Ventures
Byron Bay, Australia
www.regen.vc

Soma Capital
San Francisco, CA
www.somacap.com

Soma Capital
San Francisco, CA
www.somacap.com

Soma Capital
San Francisco, CA
www.somacap.com

Soma Capital
San Francisco, CA
www.somacap.com

Wayfinder
San Francisco, CA
www.wayfinder.com

Wayfinder
San Francisco, CA
www.wayfinder.com

Wayfinder
San Francisco, CA
www.wayfinder.com

Wayfinder
San Francisco, CA
www.wayfinder.com

Y Combinator
San Francisco, CA
www.ycombinator.com

Y Combinator
San Francisco, CA
www.ycombinator.com

Y Combinator
San Francisco, CA
www.ycombinator.com

Y Combinator
San Francisco, CA
www.ycombinator.com

And More
We're lucky to be backed by many more great angels and
funds than can be reasonably fit here.



LinkedIn
X

And More
We're lucky to be backed by many more great angels and
funds than can be reasonably fit here.



LinkedIn
X

And More
We're lucky to be backed by many more great angels and
funds than can be reasonably fit here.



LinkedIn
X

And More
We're lucky to be backed by many more great angels and
funds than can be reasonably fit here.



LinkedIn
X