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Case Study

Drug Discovery

A top 5 pharmaceutical company was on a mission to use AI to revolutionize drug discovery. They wanted in-house control of the technology that would define their future.

EnterpriseAI/MLNeural Networks
Project Goals

Pioneering the Future of Medicine

01Reduce reliance on animal testing through revolutionary AI-powered drug safety screening methods.
02Significantly lower the average $2.6 billion cost to bring a new drug to market, while accelerating the timeline.
03Discovery of new molecules that will become the groundbreaking pharmaceuticals of tomorrow.

Tackling the Challenge

One of our most complex projects to date

Multiple Neural Networks

Created multiple neural network types to process enormous quantities of molecular data, including 3D structures, protein-ligand binding characteristics, and known drug interactions.

Big Data Infrastructure

Assigned a dedicated staff of machine learning engineers to leverage big data resources and develop a discovery tool capable of analyzing thousands of molecules per day.

Elegant Interface

Combined the AI back-end with a beautifully designed user interface and simple workflow that's intuitive enough for anyone to use effectively.

Early results have been extremely encouraging, spurring the company to significantly expand exploration into AI across multiple phases of drug discovery.

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