Case Study: Insilico Medicine achieves 99% cost savings in drug candidate discovery with Amazon Web Services

Insilico Achieves 99% Cost Savings in Drug Candidate Discovery Using AWS

Insilico Medicine, a life sciences company, faced the challenge of making drug discovery faster, less fragmented, and more cost-effective in an industry where development can take years and hundreds of millions of dollars. Using Amazon Web Services, Insilico built ML-powered tools to streamline target identification, molecule design, and lead optimization across the drug pipeline.

Amazon Web Services helped Insilico run its drug discovery engine on AWS, powering SaaS platforms like PandaOmics and Chemistry42 with AI, ML, and large-scale data analysis. As a result, Insilico brought a fibrosis drug candidate from target discovery to compound validation in under 18 months for just $2.6 million, achieving about 99% cost savings.

Insilico Medicine

Petrina Kamya

Global Business Development Director for Chemistry42