Complex managed compute. Simple GxP compliance.

Sycamore Data Science Workbench (DSW) is designed to help organizations support their evolving analytics and programming needs, and optimize the use of shared compute, and storage infrastructure. Business IT is able to rapidly configure, develop, and deploy environments for modern programming languages including R & Python with the required packages, IDEs, and compute. Using these environments, business users can analyze their data and create and publish interactive apps written in R Shiny and Python Streamlit with integrated access control and audit. The environments enable reproducibility across analyses and apps in seconds rather than weeks. All access to the environments and content is centrally managed, user actions are audited, changes are versioned, and traceability across environments is maintained. Answer regulatory questions with full confidence, leading to findings-free inspections. Both GxP and non-GxP workflows with segregation of work and content can be supported on the same infrastructure. A wide selection of analysis functions, including working with real-world data (RWD), imaging (raw/features), genomics, and biomarker data ML/AI, including GPUs, can be enabled. Enable the power of Gen AI to help write analysis programs and QC analysis saving several hours of tedious work.