Protect Your AI Models from Collapse

Synthetic data used for fine-tuning — we detect collapse risks (repetition, mode collapse, low diversity), factuality drift, and reasoning quality issues.

No. We validate your data only. For advanced layer monitoring, we offer optional permission-based integration — your model never leaves your environment.

High-risk samples are flagged. We generate diverse, representative rescue data using strong prompting and external models — then re-validate until safe.

CSV, JSON, and TXT. One column of text (Q&A pairs, reasoning traces, etc.) is enough to get started.

Seconds for small datasets, minutes for large ones. Rescue generation adds a few seconds per loop.

Yes, but English performs best. Multilingual support is coming soon with expanded language coverage.

Yes — we never store your data after processing. All validation happens in-memory. Enterprise plans offer private deployment for maximum security.

We show a detailed report + flagged samples so you can manually fix or iterate. You can also request priority support for hands-on assistance.