A credible demo tenant before the prospect call
Generate a coherent business history with customers, operations, transactions, and exceptions without hand authoring rows.
The synthetic data workshop
Production shaped data, thoughtfully crafted.
Build credible, connected datasets for demos, QA, integrations, and CI. Preview the scale and relationships before you run, then reproduce the same fixture from its spec and seed.
No uploads of production rows. CSV and NDJSON are free; Parquet is included with Pro.
Field service blueprintReady to craft
Estimated output
60,963 rows8 related tables~18 MB CSVUnder 2 minutes
customers 8,412work orders 17,366appointments 19,204invoices 15,981
A bounded, inspectable workflow
From business blueprint to trusted fixture in three precise steps.
- 01
Choose a blueprint
Start from a versioned business model with documented tables, relationships, and maturity.
- 02
Tune the instruments
Set scale, time range, and exceptions. See rows, size, runtime, and plan impact before launch.
- 03
Craft and verify
Download connected files with checksums, validation results, and the seed required to reproduce them.
Inspect before you commit
A dataset you can reason about.
Field service entities share stable identifiers and include the operational exceptions real software must handle.
Field service operations8 tables · BetaDownload sample
customers1 → manywork_orders1 → manyappointments
work_order_idstable primary key
customer_idvalidated foreign key
statusincludes cancellations
scheduled_at12-month window
Built for the blocked environment
Useful when real data is unavailable, unsafe, or does not exist yet.
Fixtures that reproduce byte for byte
Pin the scenario, seed, and pack version in CI. Rebuild the same multi-table dataset whenever a test environment starts.
Test the system before customer data exists
Exercise joins, volume, seasonality, reversals, and lifecycle edge cases while production access is unavailable or prohibited.
Inspect the output first
Proof you can open in a spreadsheet.
These compact samples show the shape and cross-table identifiers. Full jobs add a signed provenance manifest, checksums, row counts, and validation status.
Field service operations
Customers, work orders, visits, technicians, parts, invoices, payments, and realistic operational exceptions.
Download CSV sampleB2B SaaS lifecycle
Accounts, users, subscriptions, product usage, invoices, support tickets, expansion, contraction, and churn.
Download CSV sampleKnow what is guaranteed
See the implemented formats, integrity checks, deterministic tests, maturity labels, and current limitations.
Read the quality reportDesign partner program
Bring an empty schema and a blocked test environment.
We are working with vertical SaaS teams on schema mapping, operational edge cases, and repeatable demo or QA environments. No production rows are required.