AI QUALITY GATE
70,000× cheaper than a bad render.
Greenlight catches risks in your video early — before it renders. One API call. Any model.
from greenlight import Greenlight
gl = Greenlight(api_key="gl_live_...")
verdict = gl.gate.frame(
image="storyboard/03.png",
prompt="wide shot, neon-lit alley, one running figure, rain",
model="veo-3.1",
)
if verdict.passed: # score 8.2 / 10 · PASS
render(shot)
else:
render(verdict.autofix) # prompt rewritten, re-scored, clearedModel-agnostic — works with Sora · Veo · Kling · Runway · Luma.
Three gates, before a single frame renders.
Idea, prompt, and every frame get checked automatically — before you spend anything on a render.
94%
PASS RATE
8.2
AVG SCORE
6%
REVISE RATE
27
FAILURE MODES
6.4
8.9
8.8
9Click any specialist to ask them a question
Frames scoring under your threshold (default 7/10) are re-refined and regenerated automatically — no manual input.
Numbers above are illustrative — wire to live metrics before launch.
The cost of a mistake is a funnel. Gate it before it renders.
Every generation pipeline — image, video, or dubbing — renders first and judges later. A single 10-second video shot costs $1.20 on Runway and up to ~$7 on Sora 2 Pro per attempt, and every failed reroll pays it again. What matters most isn’t catching the mistake — it’s catching it very early. A weak idea, an ambiguous prompt, a broken frame: all visible before you generate, all cheap to fix there. Greenlight gates every idea at the wide top of the funnel — nothing reaches render at the bottom without clearing every check above it.
The huge cost saving
Up to 70,000×
cheaper to catch a mistake at the idea stage than to pay for one failed render.
Everything funnels through the gate before it renders — almost nothing should reach the bottom uncaught.
attribute binding, counting, anatomy, physics, text, negation…
Shift-left QA for creative generation: the cost of a defect rises the later you catch it.
Built as infrastructure, not another dashboard.
Greenlight is an API. Drop one call into your generation pipeline and gate every asset before it renders. No SDK lock-in, no model lock-in.
from greenlight import Greenlight
gl = Greenlight(api_key="gl_live_...")
report = gl.gate.storyboard(
frames=[{"image": f.url, "prompt": f.prompt} for f in shots],
model="veo-3.1",
threshold=7.0,
audience="gen-z, indonesia, tiktok",
)
for shot in report.frames:
print(shot.verdict, shot.score, shot.notes){
"id": "vd_9f2c...",
"verdict": "pass",
"score": 8.2,
"threshold": 7.0,
"passed": true,
"confidence": 0.86,
"failure_modes": [
{ "code": "human_anatomy", "severity": "low", "detail": "left hand: 6 fingers" }
],
"dimensions": { "aesthetic": 8.5, "prompt_adherence": 7.9, "consistency": 8.0, "hook": 7.4 },
"model": "veo-3.1"
}Usage-based. Start free.
Developer
Solo devs / indie pipelines
1,000 checks/mo
- All endpoints
- Model-aware prompt gate
- Auto-fix
- Email support
Team
Studios & agencies
5,000 checks/mo
- Everything in Developer
- Multiplayer review room
- 5 seats
- Custom threshold per project
- Audience personas
Scale
Platforms & enterprises
Volume checks/mo
- Usage-based
- SSO
- Self-hosted personas
- Regional persona packs (APAC/SEA)
- SLA
- Priority model support