AI that watches, listens
and reasons about any video.

Describe what you need. Reka Vision finds exact timestamps, reads speech and on-screen text, and checks against your own criteria.

[OUR SOLUTION]

Review any video against any criteria.

Describe what you're watching out for. Reka Vision reviews every video and flags exactly what matters to you — with timestamps and structured results you can act on.

Try Reka Vision →

Content moderation
and policy enforcement

Detect explicit content, violence, drugs, hate symbols, self-harm, harassment, and grooming — across what’s shown, what’s said, and what’s written on screen.

Try the demo

Ad campaign and
brand compliance

Before a campaign asset goes live, someone has to verify it follows brand guidelines — correct logo usage, approved color palette, right disclaimer language, proper product positioning.

Try the demo

Creator and influencer
verification

The agent checks for product mentions, screen time, disclosure placement, and competitor visibility — with timestamps as evidence.

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Brand safety
and suitability

Our AI agent understands context, tone, and intent to help brands define moderation rules in natural language based on their own safety standards and audience.

Try the demo
[THE CHALLENGE]

Your moderation stack
wasn't built for video.

VIDEO.MP4 2:34
JOB 1
Frame
sampling
JOB 2
Audio
transcript
JOB 3
On-screen
text
outputs never combined · context lost

Most tools look at screenshots — not video.

They sample frames, transcribe audio, and scan on-screen text as three separate jobs. Nothing watches what actually happens. Context gets lost between the pieces.

video_1142.mp4 73% violent
Remove
Keep
video_1143.mp4 61% violent
Remove
Keep
score given · decision still manual

A flag isn't a decision.

A 73% violence score doesn’t tell you whether to remove the video. Someone still has to watch it and decide. That’s not automation — that’s just a sorted queue.

✓No harmful content found
STILL UNANSWERED
Did the creator show the product?
Does the ad follow brand rules?
Is the #ad disclosure visible?

A lot of review work isn't about harmful content.

Did the influencer actually show the product? Does the ad follow your brand rules? Is what's in the video the same as what's written in the listing? None of these are questions a content classifier was built to answer.

[HOW IT WORKS]

Three ways in.
Same engine.

[AGENT]

Reka Vision

Try it now

Open it in your browser. Upload a video or paste a URL. Type what you want to check. No API keys, no accounts, no configuration. Use it as your daily review tool, or to evaluate Reka Vision before building on it.

vision.reka.ai
"Review this for our guidelines."
Open Reka Vision →
[MCP]

MCP server

Use it in your workflow

Connect Reka Vision to Claude, Cursor, or any MCP-compatible agent. Your content moderators, compliance reviewers, and brand safety teams get video understanding inside the tools they already work in. No new interface.

~/mcp/reka-vision.json
{
  "server": "reka-vision",
  "tools": ["review", "monitor"]
}
ClaudeCursorCustom
MCP setup →
[API]

Vision API

Build it into your product

Everything the agent does runs on the same API. Process thousands of videos programmatically, plug into your upload pipeline, or add video understanding to your own platform. What you tested in the agent works identically in code.

POST /v1/vision/review
{
  "video": "s3://uploads/…",
  "policy": "Check brand guidelines…"
}
RESTPythonWebhooksBatch
Read API docs →
[CASE STUDY]
Reka enabled Shutterstock to further monetize their massive multimedia library — 500M photos and 50M videos — through automated metadata tagging.
Paul Hennessy, CEO of Shutterstock
The same engine that powers Reka Vision processed their entire library at scale.
Talk to us about your video library →