Case Study: Gensaic accelerates evolution screening and scales ML workflows with LatchBio

A LatchBio Case Study

Preview of the Gensaic Case Study

Gensaic accelerates evolution screening by 1.5x with LatchBio

Gensaic, an MIT-founded biotech company, is a team of phage and biological engineers working to solve the challenge of therapeutic delivery. They rely heavily on next-generation sequencing and machine learning but needed a flexible and scalable computational platform to manage their massive genomics data. They turned to LatchBio to gain access to larger compute resources without the complexity of managing their own cloud infrastructure.

Using LatchBio's Pods, Gensaic was able to compartmentalize analyses and manage raw data, bioinformatics pipelines, and machine learning workflows in one central platform. This solution accelerated their evolution screening process by 1.5x and made data more accessible to their entire team, fostering better collaboration between experimentalists and computational staff. LatchBio provided an ideal computational solution that seamlessly integrated with Gensaic's discovery process.


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