Case Study

Recursion Accelerates Drug Discovery with New Data Pipelines Based on Confluent Cloud

Recursion Accelerates Drug Discovery with New Data Pipelines Based on Confluent Cloud

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Recursion Pharmaceuticals revolutionized drug discovery by processing over three petabytes of biological image data from automated robotics, combining experimental biology, AI, automation, and real-time event streaming to identify mechanisms of action, toxicities, and treatments for inflammation, rare diseases, and immune disorders. Confluent software powered this massively parallel system with Confluent Cloud and Apache Kafka®, replacing batch bottlenecks that delayed 8TB experiment processing. This enabled real-time quality control, minutes-long feature extraction for large-scale screening (vs. hours), minimized operational overhead, simplified microservices migration, and accelerated pipeline stages—bringing multiple therapies to clinical trials faster.

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