Topic 03 · Autessa Synthetic Data
Quality and variety
Autessa Synthetic Data checks every generated row against your columns, repairs or drops the ones that do not fit, and removes near-duplicates so a 5,000-row set does not repeat itself.
In this area
What is in quality and variety?
How Autessa keeps synthetic rows usable: type validation with a repair round, enforced ranges and allowed values, near-duplicate removal and a variety ledger.
In this topic
- Autessa Synthetic Data validates every row against your column types, repairs invalid rows once, tops up shortfalls and drops what still does not fit.
- Autessa Synthetic Data removes near-duplicates across the whole job and keeps a variety ledger so later batches and appends avoid repeating earlier rows.
- Autessa Synthetic Data enforces required columns, number ranges, text lengths and allowed select values on every row it generates.
Subtopics
Every quality and variety feature
Validation and automatic repair
Autessa Synthetic Data validates every row against your column types, repairs invalid rows once, tops up shortfalls and drops what still does not fit.
Read more →De-duplication and the variety ledger
Autessa Synthetic Data removes near-duplicates across the whole job and keeps a variety ledger so later batches and appends avoid repeating earlier rows.
Read more →Ranges, lengths and allowed values
Autessa Synthetic Data enforces required columns, number ranges, text lengths and allowed select values on every row it generates.
Read more →Keep exploring
Other areas of Synthetic Data
Describe and design →
Autessa Synthetic Data starts from a sentence: describe the data, let AI propose the columns, refine them in the schema editor and steer the style with a few example rows.
Where data lands →
Every Autessa Synthetic Data job has one target: an existing table, a new table it creates first, a downloadable JSONL or CSV file, or a 50-row quick generate that stores nothing.
Review before write →
In review-first mode nothing is written until a person approves: preview the staged rows, exclude the misses, regenerate a batch or append more, then approve or discard.
Jobs at scale →
Autessa Synthetic Data runs each job in batches across several workers, shows live progress, resumes stalled work automatically and always ends in a clear status.
Developers and governance →
Everything in Autessa Synthetic Data is scriptable from the Autessa CLI and REST API, and it runs on the model your company chooses, with optional PII and PHI stripping.
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