Clinical Data Science Application Suite

Modern, Proven, Validated, FDA / EMA / PMDA Regulatory-Compliant, Scalable Cloud Architecture.

Powered by Sycamore Clinical Agentic Framework ™

A technical drawing of a blueprint with a compass and square tools.

The Sycamore Private Cloud is designed to meet industry requirements for data protection, change control and compliance with regulations including US 21 CFR Part 11 and EU Annex 11.

A person working at a desk with multiple laptops and monitors displaying programming code.

Incorporating the best-in-class Sycamore Clinical Agentic Framework™ for fast time to value, excellent performance, and 100% alignment with submission requirements like reproducibility and traceability.

A high-tech clinical trial laboratory with researchers and holographic AI-powered humanoid robots. Several monitors display data and graphs, with labels such as AI-01, AI-02, AI-03, AI-05. The background shows more researchers working, and a large window lets in natural light. Hanging signs read 'Clinical Trials Unit,' 'Data Analytics,' and 'Secure Environment.'

Built on a cloud infrastructure with data centers in the US and the EU, with its own dedicated servers, private networks, applications and services. A Hybrid Cloud deployment is also available.

A person using a laptop with digital icons and code overlays, including files, a compass, and graphical data, representing technology and data analysis.

Diagram comparing Sycamore SCE Agentic AI Interface with a code snippet, guiding principles, and two servers labeled MCP Server and Skills Hub for clinical programming, highlighting productivity adherence and key features like pre-validated skills, reproducibility, traceability, reusability, and standards-use.

Diagram illustrating the architecture of Sycamore managed compute nodes and containers for data science, including app launcher, compute & storage scaling, auditing, access control, and various tools, databases, and storage options.

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.