The New Way Biologists Work

Biomni Lab is designed for bench scientists, computational biologists, bioinformaticians, translational researchers, and life sciences R&D teams. Individual researchers can use it to explore scientific questions and run analyses, while multidisciplinary teams can collaborate across data, literature, and research workflows.

Biomni Lab is Phylo's managed, cloud-based product for individual researchers and life sciences teams. The open-source Biomni project originated at Stanford and provides community code that scientists and developers can self-host and customize. They share the same research lineage, while Biomni Lab adds a managed research environment, collaboration features, scalable infrastructure, and continuously updated capabilities.

Biomni Lab provides citations and links to original sources when referencing scientific literature. It also preserves the tools, code, methodology, and execution details used in an analysis so researchers can inspect the approach, verify results, and reproduce the workflow. As with any AI-assisted scientific work, researchers should review results using appropriate scientific judgment.

Biomni Lab for Enterprise provides dedicated infrastructure, custom agents, advanced security features, and priority support for larger life sciences organizations. It supports AI in R&D across multidisciplinary workflows and can connect with an organization's proprietary research data, tools, and processes. Explore Biomni Lab for Enterprise.

Biomni Lab enables scientists to collaborate with AI agents across biomedical research—from investigating scientific questions and designing experiments to executing analyses and interpreting results. Unlike a general-purpose LLM or AI assistant, it is purpose-built for biology and life sciences R&D. Read about the latest developments in AI for biology and scientific research on our blog.

Biomni Lab supports AI in drug discovery across early discovery, target validation, lead research, preclinical analysis, and clinical evidence generation. Researchers can use it to synthesize disease biology, analyze omics data, prioritize and evaluate targets, investigate biological structures and candidates, and review clinical evidence. Explore real-world Biomni Lab use cases across the drug discovery process.

Biomni Lab brings AI into genomics workflows such as human genetics research, variant annotation, causal gene prioritization, RNA-seq analysis, single-cell analysis, and spatial transcriptomics. Researchers can define a scientific objective in natural language, work through the analysis with Biomni, and inspect the resulting methodology, code, visualizations, and interpretation.

Yes. Biomni Lab provides AI for bioinformatics workflows spanning genomics, transcriptomics, proteomics, single-cell data, spatial biology, and other biomedical data modalities. It can help researchers plan and execute computational analyses, work with datasets, interpret results, create visualizations, and generate reports while preserving the code, sources, and execution details behind the work.

You can start using Biomni Lab, explore real-world use cases, read the latest Biomni Lab news and research, or visit the Biomni Lab documentation. Organizations interested in a managed deployment can explore Biomni Lab for Enterprise.