We’re building Clinstead to reduce the repeated translation between study requirements, database design and analysis. Give experts more time for the decisions that move research forward.
A requirement becomes a specification, a form, a rule and a database setting. At each handoff, skilled people translate it again and check that the result still matches the protocol.
An amendment sends them back through those steps: find the affected fields, update the rules and check the build. The effort compounds as documents and systems drift apart.
“Collect vital signs at Week 8.”
Define the assessment and its timing.
Build the fields, units and checks.
Configure the form and visit assignment.
The requirement stays the same. The work repeats.
clinstead designer brings source material, forms, visits and logic into one editable study. Build by hand, prompt a change or ask an agent to propose specific operations. Use the combination that suits your team.
Inspect a cited passage alongside its proposal. Refine the fields. Test the conditions. Keep the source, reviewer decisions and saved design available as you prepare the handoff.
See clinstead designerDigital protocol standards such as USDM, developed through Digital Data Flow, give software a shared way to represent study definitions. AI can help teams interpret documents and turn natural-language instructions into proposed changes.
Clinstead brings those advances into a design workflow: inspect proposed changes, resolve gaps and review the study before generating a package.
Start with what you have.
A digital protocol. Established CRFs. A familiar EDC. An idea taking shape. Your starting point should help you move forward. Your team chooses how to build from it.
Built by people who have delivered the systems—and worked with the data.
Mohamed has built clinical study systems from the first requirements to NHS deployment, and turned complex trial data into analysis-ready datasets. His work spans clinical database engineering, research standards and applied AI in frontline care.
He brings experience from Queen Mary University of London, the University of Birmingham and the NHS—and a first-hand understanding of where research teams lose time between design, data and analysis.
Salmaan is a software engineer at Amazon. At Clinstead, he brings that engineering experience to the study design environment and the tools research teams use to build.
Clinstead is an independent company.
The study’s intent, structure and reviewed decisions should carry forward as it moves from design into collection and analysis. That is the shared foundation for both clinstead designer and clinstead resolve.
Turn protocols, forms and intent into a study model your team can edit, review and prepare for collection. Keep the design decisions connected to the build.
Explore clinstead designerCarry that same model into collected data. Ask in natural language or use the interface to investigate data and generate SDTM tabulations and ADaM analysis datasets. The statistical analysis plan guides analysis definitions; your team reviews the mappings, derivations and checks.
Explore clinstead resolveThe longer-term direction extends into native data collection, study operations and participant workflows. Each step should reduce the effort of carrying a study into the next.
Start with the work you have. Show us where you want to go.
