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Misata Studio

Synthetic Data for Clinical Trials and Pharma

Describe the study, for example a phase 3 diabetes trial with 12 sites, 400 patients and 3% dropout, and Misata Studio builds trials, sites, patients on the protocol's visit schedule, doses by arm, lab biomarkers with fixed units and reference ranges, and adverse events graded with public NCI CTCAE terms. Every visit belongs to its patient's own trial and site by construction. Studio can also build a contract research organisation's business: sponsors, projects and monthly financials with exact revenue and therapy-area shares.

Updated 2026-09-24.

You would write

A phase 3 diabetes trial with 12 sites and 400 patients, 3% dropout, with adverse events graded on the CTCAE scale.

Studio builds this on one of its tested archetypes: the mechanics below are fixed and verified, and what the business sells, the names and the wording are written for yours.

Start from this

What Studio builds

trials and sitesStudies, phases, arms and the sites running them
patientsActive, completed, withdrawn or lost to follow-up, at the dropout rate you state
treatment_visitsOn the protocol schedule, always at the patient's own site
dose_administrationsDoses by arm
lab_biomarkersFixed units and reference ranges per analyte
adverse_eventsPublic NCI CTCAE terms and grades

What holds, and how you know

These are checked on the finished data, not assumed. Each dataset comes with a certificate listing what you asked for and whether it was met. How we verify.

  • Every visit belongs to its patient's own trial and site
  • Lab results use the unit and reference range of their analyte
  • Adverse events use real CTCAE terms
  • No real subject data is used
  • Every foreign key points at a row that exists, checked on the finished data
  • Every count, total, rate, share and date window you state is applied exactly, or listed as not applied
  • A certificate lists each requirement and whether the data meets it
Free sample dataset

A ready-made clinical trial visits dataset to download.

See the sample

Have a schema, specialised rules or a large volume and would rather hand it off? Ask us to build it for you.

Frequently asked

Do I need real clinical trial data to generate this?
No. Misata Studio builds the dataset from a description, a schema you draw, or a structure you import (SQL DDL, DBML or a CSV header). No real records are uploaded, copied or learned from, so there is nothing to anonymise.
Is the generated clinical trial data privacy safe?
Yes. Nothing is learned from real records, so no real person, customer or account can appear in the output. A model writes names, places and wording, and Studio may research public facts on the web (you can turn research off). It never asks for your data.
Can I control the numbers, like rates and totals?
Yes. State a total, a monthly curve, a share or a rate in plain words, or draw the curve, and Studio applies it exactly. The certificate lists each figure and whether it was met. If a figure cannot be met, Studio says so instead of changing it.
Can I use my own schema?
Yes. Paste SQL DDL or DBML, import a CSV structure, or draw the tables on the canvas. A schema you give is followed exactly, and any difference is reported.
Which formats can I export?
CSV, Excel, Parquet, JSON Lines, SQL for Postgres, MySQL, SQL Server, Oracle, BigQuery and Snowflake, SQLite, DuckDB, dbt seeds, Prisma, DBML, TypeScript, JSON Schema, a data dictionary and more.

Choosing a tool? How Misata compares

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