Automated quality evaluation built into every AI Image and Video worfklow. Detect, score, and filter AI-generated images before they reach your users.
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.
Sentinel scores every image your pipeline generates. Passing images flow to delivery. Failing images get a recommended action. Available inside Runflow pipelines and as a standalone API.
Sentinel intercepts the output from any generation node. The image is analyzed using a vision model trained on quality signals specific to your use case — not generic AI evaluation.
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.
Generate 4× more candidates.Deliver only the best ones.
BetterPic runs their headshot pipeline at 4× volume. Sentinel scores every output in real time, then selects only the highest-performing images to deliver to users.
Users receive a tightly curated set of top headshots — matching expression, likeness, background, and skin tone criteria. The rest are suppressed automatically. No human reviewer involved.
"We generate 4× more candidates and let Sentinel pick the best ones. Users get a curated set of top-quality headshots — without us reviewing a single image."
Thibaut Hennau, CEO — BetterPic.ioUser receives all generated images — mixed quality, unscored. Some are great. Many have expression issues, background artifacts, or likeness mismatches. User must pick manually.
User receives 60 curated images — all scored above threshold on face, expression, background, and skin tone. More candidates were generated, only the best surface.
Sentinel is available as a standalone API and built into every Runflow managed pipeline. Add it in minutes. Configure it for your use case. Never touch it again.
Plug Sentinel into any existing Runflow pipeline with a single parameter. No pipeline rebuild required.
Set pass/fail scores per dimension. Sentinel adapts to your quality bar — strict for luxury, lenient for drafts.
Today Sentinel flags failing images and recommends the right action: re-generate, targeted auto-fix, or manual review. Automated execution of fix workflows is on the roadmap.
Quality control is not optional at scale. It's what separates an AI product from a reliable AI product.
Already on a Runflow managed pipeline? Enable Sentinel with one parameter. Quality control on every run.
Building your own pipeline? We configure Sentinel for your exact use case, quality criteria, and thresholds.
No commitment required. We onboard 5–10 teams per month.