From idea to publication, handled end to end.
How it works
You steer. We do the work. You stay the author.
Send your starting point
A clinical area, an idea, a dataset, or a rejected manuscript.
Receive a free feasibility note
Design, expected sample, and realistic journals. No cost.
Agree the scope and a fixed quote
Per project, never per author.
We execute; you oversee
You direct and approve; we deliver the methods, the analysis, and the draft.
Submission and beyond
Journal shortlist, submission package, and reviewer responses.
Choose a route
Thirteen study types, each with its own page and price.

TriNetX real-world studies
Propensity-matched real-world cohorts from 100M+ patient records.
How TriNetX studies work & price →
National Inpatient Sample (NIS)
National in-hospital outcomes from seven million US discharges a year.
How NIS studies work & price →
Nationwide Readmissions Database (NRD)
Thirty-day readmission rates, causes, and costs after any diagnosis or procedure.
How NRD studies work & price →
Global Burden of Disease (GBD)
Burden, trends, and projections for any disease, country, or region.
How GBD studies work & price →
SEER cancer registry
Cancer survival and prognosis from decades of registry follow-up.
How SEER studies work & price →
UK Biobank
Exposure, genetic, and prognostic questions in 500,000 deeply phenotyped people.
How UK Biobank studies work & price →
AI & ML prediction models
Validated risk-prediction models, reported to TRIPOD+AI, with a web calculator.
How prediction-model studies work & price →
Systematic reviews & meta-analyses
Pairwise and individual-patient-data meta-analyses, PROSPERO to GRADE.
How systematic reviews work & price →
Network meta-analyses
Many treatments compared and ranked in one analysis.
How network meta-analyses work & price →
Diagnostic accuracy meta-analyses
Pooled sensitivity and specificity, summary ROC, post-test probability.
How accuracy meta-analyses work & price →
Narrative & state-of-the-art reviews
Invited reviews, clinical updates, and editorials, no dataset needed.
How narrative reviews work & price →
Cross-sectional studies
You collect the data with the tool we design; we do everything else.
How cross-sectional studies work & price →
Your clinical data
Retrospective studies on the records or registry you already hold.
How your-data studies work & price →No research question yet?
Tell us your clinical area and we will propose several feasible ideas, each with the data source, the design, and the likely target journal.
What you receive
Sample deliverables, up close.
Illustrative samples with invented data. Full anonymised samples on request.




Pricing
One fee per study, starting from $1,500. Reviewer responses included.
Per project, never per author. You see the design, the expected sample and the realistic target journals in the free feasibility note, before you pay anything.
Included in the fee
- Protocol, and registration or ethics submission where the design requires it
- Dataset work and the pre-specified analysis
- Journal-ready manuscript, figures, and supplements
- Journal shortlist and the full submission package
- Reviewer responses, every round, to a decision
- Database access, for the database study types
- A named lead and a second internal reviewer
Billed separately
- Journal fees and APCs, at cost
- Optional Acceptance Guarantee, offered at quotation
Discounts & group pricing
Acceptance Guarantee
Until your paper is accepted.
We sign a contract to keep revising and resubmitting across the agreed journal shortlist until your paper is accepted, with the timeframe and refund written down.
- Unlimited rounds, revisions and resubmissions at no extra charge.
- Defined refund if acceptance is not reached in the agreed period.
- Persistence, not a shortcut, peer review and ICMJE authorship still apply.
Full terms in our Terms & Conditions, section 10. Complete fee schedule →
Test the fit at no cost
Send your area of interest, one idea, or one stalled dataset.
You get a short feasibility note, design, expected sample, realistic journals, free of charge.