Automated side-by-side benchmarking with configurable quality gates. Only models that meet every threshold ship to production - automatically.
Every new model is automatically benchmarked side-by-side against your production baseline across accuracy, F1, precision, recall, and mAP. Configurable quality gates block any model that doesn't meet your thresholds - no manual sign-off required.
Immediately after training completes, QpiAI PRO creates stratified train, validation, and test splits - ensuring each partition reflects the real distribution of your data. The new model is evaluated against the held-out test set automatically, with no manual intervention needed to trigger the pipeline.
The new model's metrics - accuracy, F1, precision, recall, mAP, and latency - are displayed alongside the current production model in a comparative dashboard. Regressions are highlighted in red; improvements in green. You see at a glance exactly where the new model improves and where it falls short.
Configurable thresholds - minimum accuracy, maximum F1 regression, bias constraints - act as automated gatekeepers. Models that clear every gate are automatically promoted and queued for deployment. Models that fail are blocked, and a detailed failure report is generated to guide the next iteration of training.
Stratified train, validation, and test splits generated automatically with every training run - ensuring your evaluation always reflects real-world data distribution and is never accidentally contaminated.
Compare new models against the production baseline across accuracy, F1, precision, recall, mAP, and latency simultaneously. Spot regressions in seconds, not during a post-deployment incident review.
Set minimum performance thresholds and maximum regression tolerances per metric. Gates are enforced automatically - no one can manually override them without leaving an audit record, protecting production from under-performing releases.
Automated sliced evaluation tests model performance across demographic subgroups and rare edge cases. Surface disparate error rates before they become a fairness or regulatory issue.
Models that pass all quality gates are automatically staged for deployment - no manual handoff between the validation team and the infrastructure team. The promotion pipeline is fully traceable and reproducible.
Every validation run - inputs, outputs, gate decisions, and approvals - is logged immutably. Satisfy ISO, SOC 2, HIPAA, and EU AI Act documentation requirements without additional tooling.
Start validating your models automatically today. No credit card, no setup, no compliance shortcuts.