Video is your largest untapped dataset.

Ask it anything.

Zelf watches video at scale, 1.7 billion clips and counting, and turns it into

answers any team or agent can query.

Video is your largest untapped dataset.

Ask it anything.

Zelf watches video at scale, 1.7 billion clips and counting, and turns it into

answers any team or agent can query.

zelf.ai
watching…
CLIP 01 · PRODUCT720p
00:00 / 00:05CC
FOUND SO FAR0 / 5
watching the clip…

TRUSTED BY TEAMS RUNNING VIDEO AT SCALE

TRUSTED BY TEAMS RUNNING VIDEO AT SCALE

  • Macy’s
  • McDonald’s
    McDonald’s
  • Taco Bell
    Taco Bell
  • Wieden+Kennedy
    Wieden+Kennedy
  • Macy’s
  • McDonald’s
    McDonald’s
  • Taco Bell
    Taco Bell
  • Wieden+Kennedy
    Wieden+Kennedy

Video, understood.
Frame by frame.

Video, understood.
Frame by frame.

Zelf watches the video itself, not just captions and transcripts. And it watches all of it: every video in the set, not a sample.

filmstrip frame 1

00:00

f.01

cap twisted open

filmstrip frame 2

00:02

f.02

bottle raised to mouth

filmstrip frame 3

00:03

f.03

drinking

filmstrip frame 4

00:06

f.04

bottle lowered from mouth

filmstrip frame 5

00:08

f.05

cap screwed back on

filmstrip frame 6

NOT A SAMPLE

clip 12,413 of

2,049,957

00:12 · bottle placed in tote bag

CAPABILITIES

Ask questions no other system can answer

01

Find any moment by describing it

02

Interpret against your criteria

03

Describe what is happening

04

Track actions and motion

05

Detect objects, brands, logos

06

Read on-screen text

07

Transcribe speech

FIND ANY MOMENT BY DESCRIBING IT
00:47 / 00:47
QUERY“the moment they decide to buy”2 hits
00:04“okay, we will take two of those”match
00:08the box changes hands, both lean inmatch
Ask across everything said, shown, or written, in plain English.
01 / 01

1.7B+

1.7B+

Videos indexed, about 50M added every month.

100,000

100,000

Videos processed in a single batch.

20x

20x

Faster than real-time

Why not just call a model API?

01
Raw models break at scale.
Context limits, accuracy decay, no eval loops.
02
Zelf makes vision AI production-grade.
Batching, accuracy hardening, grounded citations to the exact clip and moment.
03
Scale without the pipeline.
A raw model takes one video per call. Zelf takes the entire archive in one job and manages the batching, retries and cost behind it.
RAW MODEL · ACCURACY OVER A BATCH
context limitaccuracy decayno eval loop
WITH ZELF · HARDENED PIPELINE
Batchingdone · in flight · queued
Accuracy hardeningheld flat across the batch
Grounded citationsevery claim, clip + second
The price is stated twice, once on the shelf tag clip 0412 · 00:07 and once spoken at the counter clip 0288 · 00:19.
00:0000:0700:1900:30
SCALE · WITHOUT THE PIPELINE
What you would buildRAW MODEL
01Chunk every video
02Queue and rate limit
03Call the model per clip
04Retry the failures
05Merge and store results
06Evaluate accuracy
What you callZELF
POST /jobs
sourcearchive/*
ask"every time someone eats a pizza"
BatchingHANDLED
RetriesHANDLED
Cost controlHANDLED
Eval loopsHANDLED
done
answerscited to clip + second

One engine, three ways in

Whether you ship a product, write the code, or run a platform, the same vision AI meets you where you already work.

For product teams

Turn your own video into a queryable asset.

For developers

Every capability as an API and over MCP — with docs front and centre.

For platforms

Embed vision intelligence into your product without building the pipeline.

How you use it

Put video intelligence inside your product — call the API, connect over MCP, or export the data into your stack.

SVI API

Put video intelligence inside your product. Analyze footage and turn what's shown, said and happening on screen into structured data your application can use.

READ THE DEVELOPER DOCS →
Zelf MCP
Exports
<detection-host>
COPY
Detect a brand
Annotate a match
Vet a creator
Search content
cURLPython
curl -X POST https://<detection-host>/v1/detections \ -H "x-api-key: $ZELF_KEY" \ -d '{ "rubric": { "targets": [ { "name": "Glow+", "identifiers": ["the wordmark on the label", "the amber dropper cap"] } ] }, "videos": ["https://www.youtube.com/watch?v=..."], "mode": "consensus", "options": { "cost_cap_usd": 10 } }'
→ 201 · CREATED · RESPONSE
{ "job_id": "det_9f2c41ab", "status": "queued", "mode": "consensus" }
REAL PATHS · x-api-key AUTH

Use cases

Every use case is a recognizable application, named in the language customers already use. Three run end-to-end right here — social video intelligence opens its own page.

Brand & product detection

● 00:12

bottle · 0.96

logo · 0.91

THE DETECTION API

Find a brand or product inside a video — timestamped.

Video annotation & motion analysis

MOTION · 6.2s

subject · track

object · track

THE ANNOTATION API

Dense temporal motion & action annotation – for frontier training.

Creator screening

@creator_4471 · 218 posts

brand-safe · pass

policy · 1 flag

THE CREATOR VETTING API

Analyze what creators do in video – not just captions and transcripts.

SOCIAL VIDEO INTELLIGENCE — THE SHOWCASE APPLICATION

We built the world’s best social video intelligence platform to show the power of the infrastructure.

Explore social video intelligence →

Rising Brands · skincare + beverage · Q2 2026

01

Alani Nu

94

02

Olipop

81

03

Poppi

76

04

Ghost

63

Video understood,
frame by frame.

Zelf turns any video into structured data.

Product

Detection API

Annotation API

Creator Vetting API

Analyse API

Pandora

Zelf MCP

Use cases

Brand & product detection

Video annotation

Creator screening

Social video intelligence

Company

Docs

Reports

About Team

Careers

hello@zelflive.com

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