Request the outcome
Send the synopsis, source files, and target deliverables. Loop turns the request into a structured delivery plan.
Products Loop
Get submission-ready trial work without managing the handoff
Loop is TrialStack’s expert delivery layer. Your team requests the study package, our clinical, regulatory, and statistical experts develop the work in Studio, and every draft, decision, review, and output stays connected to the governed study record.
DELIVER STUDY WORK
Everything teams need to move study work from request to final output
Loop turns trial requests, source files, comments, and follow-up into managed delivery workflows, so expert work keeps moving without losing context, quality gates, or ownership.
Track the work
Follow evidence review, drafting, document generation, feedback, and revisions in one governed workflow.
Review before handoff
Keep expert oversight in the process before work moves downstream.
Keep outputs attached
Link drafts, notes, decisions, and final artifacts back to the work they support.
FAQ
Questions clinical teams ask before they trust AI with study work
AI supports drafting, summarization, evidence synthesis, transformation, and review. TrialStack keeps those outputs connected to source context, study records, and human decisions, so generated work stays reviewable before it becomes part of the governed record.
No. Smaller clinical teams can start with one active trial and a focused workflow, such as protocol design, evidence review, or document generation. Larger teams can expand into multi-study governance, stronger controls, and broader operational oversight.
Yes. Most teams should start with one high-value workflow, prove the operating model, then expand. TrialStack is designed so protocol design, evidence synthesis, medical writing, and study intelligence can begin separately while still connecting into the same governed study model.
No full migration is required to start. TrialStack can sit alongside existing documents, source files, trackers, and clinical systems while giving teams a structured workspace for the work that needs governance, traceability, and AI-assisted execution.
Generated outputs remain reviewable before they are applied. Teams can inspect source context, rationale, comments, changes, and approvals, so AI-assisted work does not bypass human oversight or clinical judgment.
Loop
Add a managed delivery layer without leaving the platform.
Use TrialStack with a delivery model that keeps requests, review, and approved outputs tied to the governed system.