Case Study: Coatue accelerates investment research and boosts data scientist productivity with Domino Data Lab

Accelerating Investment Research and Impact with Domino’s Data Science Platform

Coatue Management, a TMT-focused investment manager, sought to turn proliferating alternative data and new computational techniques into repeatable investment signals. Their data science team needed to run many experiments in parallel, iterate faster, and eliminate the lag between prototyping and production while maintaining reproducibility and strong auditability for compliance.

They deployed Domino on AWS as a central platform (supporting RStudio and Jupyter) to automate parallel experiments, provide self-service, scalable compute, and streamline deployment. The result: faster research cycles, immediate productivity with no learning curve, significant operational savings, and a clear, auditable record of model development and production deployments.

Coatue

Alexander Izydorczyk

Head of Data Science