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Misata Studio

Synthetic Data for Manufacturing and Quality

Describe the plant, for example two lines of CNC mills with spindle bearing and tool wear failures, and Misata Studio builds the machines, sensor readings that drift as tools wear, failures, downtime and work orders. The sensors and failure modes are written for your kind of machine and checked by code. For statistical process control work, the free SPC sample below has subgroups, Cp and Cpk from a real Xbar-R baseline, and a drift that trips Western Electric rules.

Updated 2026-09-24.

You would write

A factory with 2 production lines of 12 CNC mills, 6 months of hourly sensor data, and spindle bearing and tool wear failures.

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

sites and assetsLines and machines
sensor_readingsReadings that drift by failure mode as a machine wears
failure_events and work_ordersFailures, downtime and repairs

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.

  • Failures follow machine wear, and remaining useful life is the true time to the next failure
  • Sensors and failure modes are written for your machine type and validated before use
  • 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

5 processes, 450 subgroups and 2,250 measurements with Cp and Cpk from a real Xbar-R baseline and Western Electric rule flags. Studio does not compute control charts for you; the sample has them.

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 manufacturing 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 manufacturing 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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