Generate with structure
Produce drafts, summaries, revisions, and transformations from governed study context, templates, and rules.
Products Catalyst
Use AI where clinical trial work is already governed
Catalyst brings guided AI generation, transformation, and review into Studio, so teams can produce clinical trial outputs without moving context, decisions, or source material outside the governed study workflow.
USE AI WITH CONTROL
Everything teams need to use AI inside governed trial work
Catalyst brings AI generation, transformation, and review into the product workflow, so teams can use agents without creating disconnected prompts, hidden context, or uncontrolled outputs.
Keep oversight explicit
Make human review visible before generated work becomes part of the study record.
Work inside the product
Run AI where clinical teams already manage decisions, evidence, and documents.
Scale adoption consistently
Give teams repeatable AI workflows instead of isolated prompt experiments.
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.
Catalyst
Roll out AI inside governed trial workflows.
Use TrialStack to make AI outputs structured, reviewable, and attached to the operational record instead of sidecar experimentation.