AppsSynthetic Data

Compare · Autessa Synthetic Data vs Tonic.ai

Autessa Synthetic Data as an alternative to Tonic.ai

Tonic.ai is a serious test data company: Structural de-identifies production data, Textual redacts text, and Fabricate builds new data from a chat with its Data Agent, across many databases and file types. Autessa Synthetic Data is for teams that want a person to approve the rows, row by row, and want them written straight into the tables their apps and agents already read.

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Demo customers · Review staged rows↻ Regenerate batchSAMPLE

Preview generated rows, exclude any that don't fit, then approve to write.

#companyplanseatsregion
1Harbor & Pine StudioTeam14EMEA
2Brightline DentalStarter3NA
3Quillstone LogisticsBusiness86APAC
4Maple Row BakeryStarter2NA
5Northwind ClinicsBusiness41NA
Batch 2 · 48 rows · 1 excludedPrevious batchNext batch
Append more rows…Discard✓ Approve & write

Side by side

Autessa Synthetic Data vs Tonic.ai

CapabilityAutessa Synthetic DataTonic.ai
Stage rows, exclude misses and regenerate a batch before anything is written✓Validation Agent; human gate not listed
Write into a live table with your own table permissions✓Exports databases and files
Never touches production rows✓Optional live connections to model schemas
Near-duplicate removal across the whole job✓Not listed
Append more rows later, reusing the job’s variety ledger✓Not listed
Training pairs preset for system, prompt and response✓Not listed
Quick generate: 50 rows in seconds, nothing stored✓Not listed
Full headless access (Autessa MCP)✓✓ Fabricate MCP: generate, validate, export
100% customizable, code and all (Autobot)✓Data Agent chat and settings
Generate data from a plain-English description✓✓
CSV export✓✓
API for generating data from code✓✓

Based on publicly available information as of November 2026. Product names are trademarks of their owners.

Where Autessa wins

Why teams pick Autessa over Tonic.ai

  • A person signs off: review-first mode stages every row, so you can exclude misses and regenerate a batch before anything lands.
  • Rows land where they are used. Jobs fill the Autessa table your app reads, with your table permissions, instead of a file to load.
  • No production connection to approve. Generation works from your description, columns and optional samples, never your live rows.
  • Tonic has a strong MCP, and so does Autessa: from Claude or Cursor, ask for a dataset, follow the job and download the file through the Autessa MCP, then use the same connection for the rest of your Autessa data.
  • Change the generator itself. Ask Autobot to add a preset for your domain, a new review screen or an approval step, down to the code.

Switching takes minutes

  • Describe your first dataset in a sentence and accept the proposed columns.
  • Paste a few sample rows from a Fabricate export to match the style you use today.
  • Choose review-first, then fill the table your app reads or export JSONL or CSV.

FAQ

Autessa Synthetic Data vs Tonic.ai: questions

How is Autessa Synthetic Data different from de-identifying production data?

It creates entirely new rows from a description, so there is no production data to copy, mask or transform, and nothing real to leak.

Can Autessa generate data from scratch like Tonic Fabricate?

Yes. Generating from scratch is exactly what it does: describe the data, propose a schema, and generate up to 5,000 rows per job, with append for more.

Can I review rows before they are written?

Yes. Review-first mode stages every row. You can open any row, exclude rows, regenerate a batch or append more, then approve or discard.

What can I customize?

Column descriptions, sample rows and presets are settings. Beyond that, the app can be changed down to its code: Autobot makes the change from a plain-language request, or your developers edit it directly.

Does it work with Claude and Cursor like the Fabricate MCP?

Yes. The Autessa MCP connects Claude, ChatGPT, Cursor or your own agents, so they can propose schemas and run generation jobs within the access of whoever connected it.

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Describe your first dataset

Describe a dataset and see the first rows in seconds.

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Describe it · review it · write it · or download JSONL and CSV

100% customizable, code and all

Make Autessa Synthetic Data fully your own.

Use it out of the box, then change anything. Ask Autobot, Autessa’s AI builder, for a new field, screen, report, workflow or agent and it builds it into your copy of the app. Or open the code and edit it yourself. Nothing is locked: the app, its data and its code are yours.

Start free and make it yours