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Misata Studio

Synthetic Data for SaaS

State your figures, for example 2,000 accounts on three plans with MRR climbing from $50,000 to $400,000 and 2.5% monthly churn, and Misata Studio builds a complete B2B SaaS: accounts, subscriptions and their MRR movements, invoices, product usage, support tickets, NPS surveys and the sales pipeline. Each month's MRR lands on your number, churn matches your rate, and everything that can be derived is derived, so ARR, contract ends and current MRR always agree.

Updated 2026-09-24.

You would write

A B2B SaaS company with 2,000 accounts on three plans. MRR climbs from $50,000 in January 2025 to $400,000 in December 2026 with 2.5% monthly churn.

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

accountsCompanies with industry, size and plan
subscriptionsActive, expanded, contracted or churned, with current MRR worked out from its movements
mrr_movementsNew, expansion, contraction and churn, month by month
invoicesAmounts that follow the subscription
product_usage and support_ticketsActivity per account; a ticket's resolution time follows its status
opportunities and sales_repsThe pipeline, with each opportunity's rep taken from its account

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.

  • MRR follows the monthly curve you state, exactly
  • A churn rate you state is met exactly
  • ARR is 12 times MRR and a subscription's MRR is the sum of its movements
  • Plan names are yours if you name them
  • 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 subscription analytics 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 SaaS 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 SaaS 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.

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