TheNewWayLifeSciencesTeamsWork

“With patients waiting for new medicines, there is an urgent need to help scientists move faster without compromising scientific rigor. Biomni Lab stood out because our researchers quickly adopted it and saw its potential to accelerate everyday discovery. We look forward to working with Phylo to explore how agentic AI can help bring new medicines to patients faster.”

Read the announcement here →

Seishi Katsumata, Ph.D.

Corporate Officer, Executive VP, Discovery & Research

Ono Pharmaceutical Co., Ltd.

“Biomni Lab is user-friendly for all scientists to automate bioinformatics analyses, generate publication-quality figures, and even compare results with external datasets. At Ginkgo Datapoints, we hope to incorporate Biomni as an everyday tool in our workflows.”

Read the case study →

Ayla Ergun

Senior Director of Data Science

Ginkgo Bioworks

“While researching a specific protein’s role in a disease, Biomni didn’t just return accurate references to support my hypothesis; it actually found a paper with data buried in one of its figures that contradicted my hypothesis. It reinterpreted those findings and helped me refine my hypothesis in a way I hadn’t previously considered. That level of critical thinking and analysis is something I haven’t seen in other AI platforms; it truly felt like collaborating with a subject matter expert… [Biomni has] become an essential part of my workflow.”

“Biomni Lab turned a CRISPR screen workflow that took nearly 20 hours into one I can complete in under 30 minutes—a roughly 40× speedup. More importantly, it made iteration easy enough to explore parameters freely, leading to better-supported hit calls and more confident conclusions. The bottleneck moved from mechanical execution to scientific decision-making.”

Lai Wei

Project Scientist

UCSD

“Biomni Lab has fundamentally changed how I approach data analysis. Instead of spending days or weeks coordinating iterative requests, I can explore datasets, test hypotheses, and generate publication-quality analyses myself. It has already contributed to several grants in preparation, and its clear documentation makes the work easier to understand, reproduce, and build upon.”

Ezequiel Dantas, MD, PhD

Assistant Professor

NYU Langone

“We used Biomni Lab to screen tens of thousands of compounds, generate docking profiles against crystal structures, and identify a shortlist of leads for empirical testing. This would have been extremely difficult without a medicinal chemistry or structural biology collaboration. Biomni has become a staple in our lab, helping us take on work that was previously out of reach.”

Rahul Bhansali, MD

Clinical Instructor / Postdoctoral Fellow

University of Pennsylvania / Children’s Hospital of Philadelphia

“My lab used Biomni Lab to build a preliminary atlas of publicly available transcription factor perturbations and epigenomic measurements. What would have taken one to two weeks became a single day of guiding the agent. That early atlas gave us the proof of feasibility we needed to take the project forward.”

Sahin Naqvi, PhD

Assistant Professor / PI

Boston Children’s Hospital & Harvard Medical School

“With patients waiting for new medicines, there is an urgent need to help scientists move faster without compromising scientific rigor. Biomni Lab stood out because our researchers quickly adopted it and saw its potential to accelerate everyday discovery. We look forward to working with Phylo to explore how agentic AI can help bring new medicines to patients faster.”

Read the announcement here →

Seishi Katsumata, Ph.D.

Corporate Officer, Executive VP, Discovery & Research

Ono Pharmaceutical Co., Ltd.

“Biomni Lab is user-friendly for all scientists to automate bioinformatics analyses, generate publication-quality figures, and even compare results with external datasets. At Ginkgo Datapoints, we hope to incorporate Biomni as an everyday tool in our workflows.”

Read the case study →

Ayla Ergun

Senior Director of Data Science

Ginkgo Bioworks

“While researching a specific protein’s role in a disease, Biomni didn’t just return accurate references to support my hypothesis; it actually found a paper with data buried in one of its figures that contradicted my hypothesis. It reinterpreted those findings and helped me refine my hypothesis in a way I hadn’t previously considered. That level of critical thinking and analysis is something I haven’t seen in other AI platforms; it truly felt like collaborating with a subject matter expert… [Biomni has] become an essential part of my workflow.”

“Biomni Lab turned a CRISPR screen workflow that took nearly 20 hours into one I can complete in under 30 minutes—a roughly 40× speedup. More importantly, it made iteration easy enough to explore parameters freely, leading to better-supported hit calls and more confident conclusions. The bottleneck moved from mechanical execution to scientific decision-making.”

Lai Wei

Project Scientist

UCSD

“Biomni Lab has fundamentally changed how I approach data analysis. Instead of spending days or weeks coordinating iterative requests, I can explore datasets, test hypotheses, and generate publication-quality analyses myself. It has already contributed to several grants in preparation, and its clear documentation makes the work easier to understand, reproduce, and build upon.”

Ezequiel Dantas, MD, PhD

Assistant Professor

NYU Langone

“We used Biomni Lab to screen tens of thousands of compounds, generate docking profiles against crystal structures, and identify a shortlist of leads for empirical testing. This would have been extremely difficult without a medicinal chemistry or structural biology collaboration. Biomni has become a staple in our lab, helping us take on work that was previously out of reach.”

Rahul Bhansali, MD

Clinical Instructor / Postdoctoral Fellow

University of Pennsylvania / Children’s Hospital of Philadelphia

“My lab used Biomni Lab to build a preliminary atlas of publicly available transcription factor perturbations and epigenomic measurements. What would have taken one to two weeks became a single day of guiding the agent. That early atlas gave us the proof of feasibility we needed to take the project forward.”

Sahin Naqvi, PhD

Assistant Professor / PI

Boston Children’s Hospital & Harvard Medical School

“With patients waiting for new medicines, there is an urgent need to help scientists move faster without compromising scientific rigor. Biomni Lab stood out because our researchers quickly adopted it and saw its potential to accelerate everyday discovery. We look forward to working with Phylo to explore how agentic AI can help bring new medicines to patients faster.”

Read the announcement here →

Seishi Katsumata, Ph.D.

Corporate Officer, Executive VP, Discovery & Research

Ono Pharmaceutical Co., Ltd.

“Biomni Lab is user-friendly for all scientists to automate bioinformatics analyses, generate publication-quality figures, and even compare results with external datasets. At Ginkgo Datapoints, we hope to incorporate Biomni as an everyday tool in our workflows.”

Read the case study →

Ayla Ergun

Senior Director of Data Science

Ginkgo Bioworks

“While researching a specific protein’s role in a disease, Biomni didn’t just return accurate references to support my hypothesis; it actually found a paper with data buried in one of its figures that contradicted my hypothesis. It reinterpreted those findings and helped me refine my hypothesis in a way I hadn’t previously considered. That level of critical thinking and analysis is something I haven’t seen in other AI platforms; it truly felt like collaborating with a subject matter expert… [Biomni has] become an essential part of my workflow.”

“Biomni Lab turned a CRISPR screen workflow that took nearly 20 hours into one I can complete in under 30 minutes—a roughly 40× speedup. More importantly, it made iteration easy enough to explore parameters freely, leading to better-supported hit calls and more confident conclusions. The bottleneck moved from mechanical execution to scientific decision-making.”

Lai Wei

Project Scientist

UCSD

“Biomni Lab has fundamentally changed how I approach data analysis. Instead of spending days or weeks coordinating iterative requests, I can explore datasets, test hypotheses, and generate publication-quality analyses myself. It has already contributed to several grants in preparation, and its clear documentation makes the work easier to understand, reproduce, and build upon.”

Ezequiel Dantas, MD, PhD

Assistant Professor

NYU Langone

“We used Biomni Lab to screen tens of thousands of compounds, generate docking profiles against crystal structures, and identify a shortlist of leads for empirical testing. This would have been extremely difficult without a medicinal chemistry or structural biology collaboration. Biomni has become a staple in our lab, helping us take on work that was previously out of reach.”

Rahul Bhansali, MD

Clinical Instructor / Postdoctoral Fellow

University of Pennsylvania / Children’s Hospital of Philadelphia

“My lab used Biomni Lab to build a preliminary atlas of publicly available transcription factor perturbations and epigenomic measurements. What would have taken one to two weeks became a single day of guiding the agent. That early atlas gave us the proof of feasibility we needed to take the project forward.”

Sahin Naqvi, PhD

Assistant Professor / PI

Boston Children’s Hospital & Harvard Medical School