Compare · Autessa Synthetic Data vs MOSTLY AI
Autessa Synthetic Data as an alternative to MOSTLY AI
MOSTLY AI, now “powered by Syntho” after Syntho bought the brand in 2026, is known for training generators on real data, with an open-source SDK and differential privacy. That is the right tool when you must preserve the statistics of a real dataset. Autessa Synthetic Data solves a different problem: you have no dataset to share, or you do not want one touched, and you need realistic rows now.
Side by side
Autessa Synthetic Data vs MOSTLY AI
| Capability | Autessa Synthetic Data | MOSTLY AI |
|---|---|---|
| Realistic data with no real data involved | ✓ | Mock data; synthetic data trains on real data |
| Time to first rows | Seconds with quick generate | Train a generator first |
| AI proposes the table name and typed columns | ✓ | Not listed |
| Stage rows, exclude misses and regenerate a batch before anything is written | ✓ | Not listed |
| Seed live tables with your own table permissions | ✓ | Via connectors |
| Training pairs preset for system, prompt and response | ✓ | Not listed |
| Nothing to deploy | ✓ | Local SDK, or Kubernetes or OpenShift |
| Full headless access (Autessa MCP) | ✓ | Python SDK; MCP not listed on its site |
| 100% customizable, code and all (Autobot) | ✓ | Open-source SDK (Apache 2.0) |
| CSV export | ✓ | ✓ |
| API for generating data from code | ✓ | ✓ |
| How privacy works | Invented rows, real data never read | Differential privacy on real data |
Based on publicly available information as of November 2026. Product names are trademarks of their owners.
Where Autessa wins
Why teams pick Autessa over MOSTLY AI
- No source dataset to prepare, approve or protect: a plain-English description is enough.
- Rows in seconds. Quick generate returns up to 50 validated rows with nothing stored, with no generator to train first.
- Review-first mode lets a person exclude rows and regenerate a batch before rows land in a table.
- Ask from your AI tools. Through the Autessa MCP, Claude or Cursor can propose a schema and run a job, without a Python environment.
- Change more than the model. Autobot can add a domain preset or change any screen and workflow from a plain-language request, and your developers can edit the code.
Switching takes minutes
- Describe the dataset you would have trained on, including ranges and proportions.
- Accept the proposed columns and add sample rows you are free to share.
- Choose review-first, then fill a table or export JSONL or CSV.
FAQ
Autessa Synthetic Data vs MOSTLY AI: questions
Who owns MOSTLY AI now?
Syntho announced in June 2026 that it acquired the MOSTLY AI trademark and related assets, and the brand now appears as “MOSTLY AI, powered by Syntho.”
How does Autessa Synthetic Data protect privacy?
It invents every row from your description and never learns from real records, so there is no source data to leak.
Can it match the patterns in my production data?
Yes. Describe them, such as "80% insured" or typical ranges, in the dataset or column descriptions and the generator follows them in every batch, without ever reading production. For exact statistical fidelity to a real dataset, a trained generator is the better fit.
What can I customize?
Column descriptions, sample rows and review mode are settings, and the app can be changed down to its code by Autobot or your developers.
Can my AI tools use it through MCP?
Yes. The Autessa MCP connects Claude, ChatGPT, Cursor or your own agents, within the access of whoever connected it.
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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