Uploaded June 2025 | Updated September 2026, 1 week ago
Insilico Medicine, a clinical-stage biotechnology company driven by generative artificial intelligence (AI), today announced the recent release of its Nach01 foundation model on Amazon Web Services (AWS), available via AWS Marketplace, a curated storefront helping companies of all sizes find, buy, and deploy solutions from AWS Partners. The launch represents a major step in the ongoing collaboration between AWS and Insilico Medicine's Pharma.AI Platform, aimed at providing access to advanced AI tools for drug design. Nach01 leverages a large language model to process both structural and spatial data. Combining strengths from both predecessors, Nach01 is designed to solve hundreds of diverse tasks, providing a broad and comprehensive range of chemical knowledge.
Trained using Amazon SageMaker, AWS's fully-managed machine learning (ML) service to build, train, and deploy NL models, Nach01 enables scientists to build, fine-tune, and apply large-scale generative models for retrosynthesis and molecular prediction tasks. This foundational model has evolved into a production-ready solution, where it can deliver state-of-the-art performance across a wide range of generative and predictive tasks.
The model has already generated significant demand in pre-launch and will now be distributed through AWS Marketplace, streamlining access for researchers, startups, and small to large pharma companies.
Get started today:
aws.amazon.com/marketplace/pp/prodview-aq32kfu5ifjgw
Insilico Medicine, a clinical-stage biotechnology company driven by generative artificial intelligence (AI), today announced the recent release of its Nach01 foundation model on Amazon Web Services (AWS), available via AWS Marketplace, a curated storefront helping companies of all sizes find, buy, and deploy solutions from AWS Partners. The launch represents a major step in the ongoing collaboration between AWS and Insilico Medicine's Pharma.AI Platform, aimed at providing access to advanced AI tools for drug design. Nach01 leverages a large language model to process both structural and spatial data. Combining strengths from both predecessors, Nach01 is designed to solve hundreds of diverse tasks, providing a broad and comprehensive range of chemical knowledge.
Trained using Amazon SageMaker, AWS's fully-managed machine learning (ML) service to build, train, and deploy NL models, Nach01 enables scientists to build, fine-tune, and apply large-scale generative models for retrosynthesis and molecular prediction tasks. This foundational model has evolved into a production-ready solution, where it can deliver state-of-the-art performance across a wide range of generative and predictive tasks.
The model has already generated significant demand in pre-launch and will now be distributed through AWS Marketplace, streamlining access for researchers, startups, and small to large pharma companies.
Get started today:
aws.amazon.com/marketplace/pp/prodview-aq32kfu5ifjgw
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Lykke Sylow
Dept. Biomedical Sciences
University of Copenhagen")
