Automated quality evaluation built into every AI image and video workflow. Detect, score, and filter AI-generated images before they reach your users.
Built into every Solution API. Add it as a node in any Runflow workflow.
When AI pipelines run at volume, defects multiply. No team reviews 10,000 images a day. Without automated evaluation, broken images reach your users.
Face distortions, wrong backgrounds, skin tone issues, logo placement errors. At API scale, defects are invisible until a user complains.
Manual QA works for dozens of images. Not for thousands. The moment you scale, quality control becomes the bottleneck, or disappears entirely.
Every image that fails QA after delivery is a refund, a complaint, or a churn event. Defect cost doesn't show in COGS. It shows in your NRR.
Guard blocks bad images before delivery. Score evaluates asynchronously with zero latency. Pipeline Insights tracks quality trends over time. Use one, or all three.
Sentinel evaluates every image before delivery. Bad outputs are discarded and re-generated automatically with the specific issues flagged. Your users only see quality results.
Sentinel evaluates at three levels. From universal quality checks to custom business rules you define. Every layer is configurable.
Universal checks that apply to any AI image generation. Runs automatically on every pipeline, zero configuration.
Pre-tuned criteria for Runflow's production pipelines. Headshots, fashion, on-model. Each with its own quality standard.
Define what matters to your business. Sentinel checks your edge cases on every single run, at any volume.
BetterPic generates AI headshots at 4x volume, then lets Sentinel score every output in real time. Only the highest-scoring images are delivered to users. The rest are suppressed automatically.
Generate 4x more candidates.Deliver only the best ones.
Users receive a tightly curated set of top headshots matching expression, likeness, background, and skin tone criteria. No human reviewer involved. Zero bad images shipped.
Sentinel is built into every Solution API and can be added as a node in any Runflow workflow. Configure it for your use case. Never touch it again.
Already included in Solution APIs. For custom workflows, add the Sentinel node to your pipeline. One step, no rebuild.
Set pass/fail scores per dimension. Sentinel adapts to your quality bar. Strict for luxury, lenient for drafts.
Sentinel tells you exactly what failed and why. Use the feedback to trigger a new generation with the specific issues flagged, or handle it in your own pipeline.
Quality control is not optional at scale. It's what separates an AI product from a reliable AI product.
Using our Solution APIs? Sentinel is already built in. Quality evaluation on every image, zero setup.
Building your own workflow on Runflow? Add the Sentinel node for quality evaluation configured to your exact use case.
See quality scoring in action
Try our free fashion product scorer. Upload a garment image and get an instant AI readiness score.