Domino Data Lab has announced Domino SCE QC, a new capability designed to bring automation, traceability, and confidence to quality control processes within clinical programming. This innovation embeds QC tracking directly into the statistical computing environment (SCE), providing statistical programming and biostatistics teams with a faster, more reliable method to validate analyses, document approvals, and ensure audit readiness without leaving their primary work environment.
Quick Intel
Domino Data Lab launched SCE QC for automated quality control in clinical programming.
It embeds QC tracking and approvals directly into the statistical computing environment.
The solution automates version control and links datasets, code, and outputs.
It supports dual-programmer validation and compliance with 21 CFR Part 11.
Developed with input from the SCE Coalition based on real industry workflows.
The goal is to shorten submission timelines and ensure full audit readiness.
Domino SCE QC addresses the manual and often fragmented nature of quality control in clinical trials. By enabling programmers to create, assign, and approve deliverables directly within the SCE, it automatically links and version-controls every dataset, code file, and output. This eliminates duplicate effort, enforces proper sequencing, and supports dual-programmer validation, all while maintaining complete traceability aligned with stringent regulations like 21 CFR Part 11.
A key benefit of the solution is the centralization of QC tracking and documentation. By housing this process within the SCE, Domino creates a single, trusted source of record for all analytical work. This centralized approach helps life sciences organizations strengthen oversight, significantly reduce review cycles, and streamline regulatory submissions without introducing new, disparate tools or adding complexity to existing workflows.
According to Domino's CEO, this launch is a strategic step in modernizing the industry. "Domino SCE QC represents the next step in modernizing statistical programming," said Nick Elprin, CEO and co-founder of Domino Data Lab. "It gives life sciences organizations the ability to accelerate clinical analyses while maintaining full traceability and compliance." The solution was developed with input from the SCE Coalition, ensuring it is shaped by real-world workflows and documentation standards.
The introduction of Domino SCE QC marks a significant advancement in operationalizing quality and compliance for life sciences. By seamlessly integrating quality control into the analytical workflow, Domino empowers clinical programming teams to accelerate development timelines while robustly managing risk. This connected approach is critical for organizations aiming to scale compliant practices, improve consistency across studies, and bring vital medicines to market faster and with greater confidence.
About Domino Data Lab
Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino's Enterprise AI Platform provides an integrated experience spanning model development, MLOps, collaboration, and governance. With Domino, global enterprises deliver better medicines, grow more productive crops, and design more competitive products. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.
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