Synthos in Five Minutes: What It Does and Why Your Training Run Cares
July 6, 2026 · 4 min read
By Osagie, Social Media & Design at Genovo Technologies
Here is the whole product in one sentence: Synthos checks your AI training data for hidden damage before you spend a fortune training on it. If your data mix includes anything synthetic or machine-generated — and today, almost everyone’s does — that damage has a name: model collapse.
Collapse is what happens when models learn from data other models made. The data slowly loses its edges — rare cases, outliers, natural messiness — and models trained on it inherit the blindness. The cruel part is that nothing looks wrong until after the expensive training run.
What you actually get
Upload a dataset — a file or a whole folder — pick a validation, and within 48 hours you get:
- A risk score with a plain-language verdict, backed by confidence intervals.
- Five dimension scores showing where the data is strong or slipping.
- Row-level findings that point at specific problem records in sampled data.
- Fix recommendations, and a cheap re-validation to confirm the fixes worked.
- For low-risk data: a shareable certificate anyone can verify, and an optional financial warranty.
Try it in an afternoon
Pricing is in credits — a standard validation is 25, express is 50 — so you pay for validations, not seats. Creating an account is free, the dashboard walks you through your first upload, and the API and Python SDK drop validation straight into an existing pipeline. The best time to check your training data was before your last run; the second-best time is before your next one.