Your investigators shouldn't need a data scientist
Your clinicians, fellows, and graduate students sit on institutional data they can't analyze without coding skills or a data scientist to partner with. TrialMind lets them run the study themselves — on your data, inside your environment, with a reproducible audit trail on every result.
Three things you are already measured on
Investigators run their own analyses
The constraint is rarely ideas — it is access to data science. Instead of hiring, borrowing, or waiting on a collaborator, your investigators define cohorts and run analyses themselves, in plain language.
More studies started, more papers out
Research that was never attempted — because there was no one free to run the analysis — becomes feasible. Publication output is what your department is measured on, and it is the metric this moves.
Training infrastructure for your trainees
Fellows and graduate students build real clinical data science skills on your own institutional data, with reproducible methods and an audit trail — rather than picking up just enough code to get one analysis done.
No code
Required of the investigator
New studies
Previously infeasible, now running
Two academic medical centres
Research that was previously infeasible
Clinical researchers query institutional data in plain language. TrialMind drafts an analysis plan they review, then runs it in a secure sandbox with no setup.
Described by organisation type. Named references available under NDA.
Built to pass IRB and IT security review
The two questions that stop institutional projects are where your data goes and whether the method can be defended. Both are answered architecturally.
Runs inside your environment
TrialMind deploys into your institution's environment. Raw patient records never leave it, which is what makes PHI governance and IT security review passable.
Connects to the data you already have
OMOP/OHDSI, i2b2, REDCap, and institutional EHR extracts, alongside published literature and trial registries.
Every analysis is reproducible
Cohort definitions, inclusion and exclusion decisions, and analysis steps carry a full audit trail — the property that survives a methods reviewer and an IRB question alike.
Licensed by group, not by seat
We invoice against departmental research funds, CTSA/CTSI awards, and training grants, and can operate under a core-facility recharge model. We work to your fiscal year.
Research Group
A single PI's lab or research group
Department
A department or division
Institution
Multi-department, CTSI, or health-system-wide
Want to Join a Research Camp?
We're always looking for collaborators—whether you're a clinician, biostatistician, researcher, or pharma expert. Let's work together to shape the future of AI-driven drug development.
Frequently Asked Questions
Does TrialMind run inside our environment?
Yes. TrialMind deploys into your institution's environment and analyses run where your data already lives. Raw patient records never leave your control, which is what makes PHI governance and IT security review passable.
Do you sign a BAA?
Yes. We execute a Business Associate Agreement as part of onboarding, alongside whatever data use agreement your privacy office requires.
How does this fit our IRB protocol?
TrialMind is analysis infrastructure — it does not change your protocol or your approvals. Analyses run under your existing IRB approval, and every cohort definition and analysis step carries a reproducible audit trail, which is typically what an IRB or a methods reviewer asks for.
What data sources does it connect to?
OMOP/OHDSI common data model, i2b2, REDCap, and institutional EHR extracts, plus published literature and global trial registries. If your data is already in a warehouse, we connect to it rather than asking you to move it.
How are seats allocated across a department?
Seats are pooled at the department or research-group level and shared across principal investigators, fellows, and graduate students. You allocate them internally; we do not meter per individual.
Can we pay from a grant or a recharge account?
Yes. We invoice against departmental research funds, CTSA/CTSI awards, and training grants, and we can operate under a core-facility recharge model where your institution prefers it. We work to your fiscal year.
Do you support teaching and trainee onboarding?
Yes. TrialMind is used in fellowship and graduate training, and a department license includes cohort onboarding plus teaching material built around real study workflows rather than toy datasets.
Is co-authorship or methods collaboration available?
Yes, through our Research Camps. We co-develop and validate methods with participating institutions and publish the findings together.
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