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Generative AI for Life Sciences

Develop groundbreaking models that unlock insights from vast multimodal data sets.

Improve understanding of disease biology and accelerate timelines for drug discovery.

Design novel mutations, model complex effects, and speed your therapeutics pipeline.

MosaicML Platform Demo Request

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Build Your Own Biomedical GPT

1. Train your own AI model on proprietary data from clinical trials, scientific literature, and molecular databases.

2. Prompt your model to discover patterns and relationships between data like protein sequences, biological systems, and disease states.

3. Ensure privacy and regulatory compliance by keeping your workflow in-house. Maintain full control of your data and total ownership of your AI model.

AI-Powered Solutions for Life Sciences

Drug Discovery

Transform the design, optimization, and synthesis of molecules and power virtual creation of new and lead candidates

Drug Development

Predict drug protein interactions and determine drug effectiveness once a potential new drug has been identified

Clinical Trials

Identify latent trends through automated document analysis; generate synthetic datasets that preserve patient privacy

Precision Medicine

Enable comprehensive genome sequencing and molecular biomarker analysis; power high-throughput imaging and diagnostics

MosaicML Makes Model Training Easy

Optimized Performance: our system optimizations drastically reduce the amount of compute needed to generate a high-quality model.

Ultimate Security: train advanced AI models in any cloud environment—or on prem—with complete data privacy and full model ownership.

Maximum Scalability: our flexible platform makes state of the art deep learning infrastructure available to anyone with a few command lines. 

Ease of Use: One-click training and one-click inference reduce the time needed to develop complex AI models by orders of magnitude.

Stanford Center for Research on Foundational Models used MosaicML to train multi-billion-parameter language models on biomedical text.
"Generative AI can generate millions of candidate molecules for a certain disease, then test their application, significantly speeding up R&D cycles."
"AI automation throughout the drug development pipeline is opening up the possibility of faster, cheaper pharmaceuticals."
MIT Technology Review
"By fully integrating AI into research workflows, biopharma companies can deliver greater patient impact and significant value."