Structure protocol decisions
Define endpoints, eligibility, SoA, objectives, assessments, risks, and controls as connected study decisions.
Products Studio
Plan trials, coordinate evidence, draft controlled content, and run review in one system. Built for teams that need structure, traceability, and shared context.
STRUCTURE STUDY WORK
TrialStack helps clinical teams structure protocol design, evidence, rationale, and cross-functional review in one governed workflow, so design choices stay aligned from first concept through study start-up.
Define endpoints, eligibility, SoA, objectives, assessments, risks, and controls as connected study decisions.
Attach the evidence, assumptions, trade-offs, and clinical reasoning behind each design choice.
Give clinical, regulatory, statistical, operational, and writing teams a shared view of what is being designed and why.
Reuse approved design decisions across evidence packs, protocol sections, documents, and downstream study-startup work.
FAQ
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.
Pricing
Start with one active trial, then scale into multiple studies, larger teams, higher AI usage, stronger governance controls, and priority support as your study-startup work grows.
Ignite
For small teams launching a first trial who need core governance, evidence, and document controls.
Accelerate
For teams managing multiple active studies that need more capacity, stronger governance, and faster support.
Scale
For enterprise teams running larger study portfolios with custom limits, identity controls, and dedicated support.
Studio
See how Studio brings planning, evidence, review, and follow-through onto the same operational surface for regulated teams.