MediaIntel

Read every
frame.

Our AI engine turns any video — live or archive — into structured, searchable visual intelligence. Built for enterprise.

MediaIntel
The problem
02 / 10

More footage than anyone can watch — and almost none of it is structured data.

Petabytes
Broadcast, CCTV, drones, dashcams and archives pour out more video every day than any team can review.
Text-blind
A logo's exposure, a product on screen, an incident on camera — the signals that matter live in pixels, where text tools can't see.
Manual
Sponsorship valuation, compliance review and archive search are still done by hand, or not at all.
MediaIntel
What we do
03 / 10

One engine reads every frame.

We turn raw video into a structured, searchable index — the things on screen, described, located in time, and ready to query.

core
What is shown

The image

Scenes, objects, people, brand logos, on-screen text and events — read frame by frame from the pixels.

Supporting

The audio

Transcription aligned to the timeline, so on-screen detections carry the spoken context around them.

The output

The index

Every signal time-stamped into a searchable index — query it, chat with it, and deliver it your way: API, the format you need, or a custom integration we build to fit.

MediaIntel
Capabilities
04 / 10

What we read in every frame.

01

Scene

Shot segmentation and scene classification, mapped to timecode with full coverage.

02

Objects & people

Detection and tracking across scenes, with confidence and on-screen position.

03

Brand & logo

Logo detection with prominence (size in frame) and exposure time in seconds.

04

Product placement

Automated placement measurement — what brand, how long, how prominent.

05

On-screen text

OCR of chyrons, captions and graphics, indexed and searchable.

06

Brand safety

Seven risk categories flagged with intensity and timecode for review.

07

Events & zones

Activity and zone detection — entries, after-hours access, incidents.

08

Scene description

A human-readable summary of what happens, grounded in the detections.

Under the hood A proprietary pipeline runs several specialised AI models in parallel — each signal above has its own dedicated detector, run only when needed.
MediaIntel
Frame in detail
05 / 10

One frame, fully read.

Everything the engine sees and hears in a single still — the host, her words and mood, every product, on-screen text and a brand-safety check — each boxed, timecoded and written to the index.

Annotated TV-studio frame with product and object detection boxes
CAM 02  ·  00:12:48:05 LIVE
person · host 0.99
camera 0.97
bottle 0.96
package 0.95
mug 0.94
cups ×2 0.93
laptop 0.96
logo
SCENE · TV studio — live product segment
Extracted from this frame 10 / 10 signals
SceneTV studio · live product segment · 0.97
People1 host · tracked across the shot
Emotionhost — positive · enthusiastic, confident · 0.92
Speech“Honestly, this is the one I reach for every single morning.” · transcript · 00:12:46 → 12:49
Objectsbottle · package · mug · 2 cups · laptop · broadcast camera
Placement5 branded products · 11.4 s on-screen · prominence high
Brand / logo2 logos detected · laptop, package
On-screen textOCR — lower-third & packaging copy indexed
Brand safety✓ Clear · 0 / 7 risk categories
Description“A presenter introduces several consumer products arranged on a studio counter; an open laptop sits to the right.”
Read in 0.6 s — every field structured and indexed.
MediaIntel
How it works
05 / 10

From footage to a searchable index.

01

Ingest

Live streams or deep archives — from the cameras and feeds you already own.

02

Segment

Frame extraction and scene segmentation across the full timeline.

03

Analyze

Vision models run in parallel — objects, logos, OCR, brand-safety, events.

04

Enrich

Descriptions and classifications, grounded against sources you trust.

05

Deliver

Searchable index, dashboard, chat and a full JSON API + integrations.

Sub-minute
Live streams — frame to alert as it's ingested.
1 hr video → under 10 min
An hour of footage fully processed into structured intelligence in under ten minutes.
No upper bound
A clip or a years-deep library — one pipeline.
MediaIntel
Use cases
06 / 10

One engine. Every vertical.

The same model that measures a logo's airtime watches a loading bay for an incident — different cameras, different taxonomies, one underlying engine.

Broadcast & Media

Archive indexing, contextual-ad metadata and automated product-placement measurement.

Sports & Sponsorship

Brand exposure quantified per action across live and archive footage.

Retail Loss Prevention

Incidents, sweethearting and after-hours anomalies from the CCTV you own.

Smart-City CCTV

Crowd density, abandoned objects and traffic incidents on existing cameras.

Industrial Safety

Missing PPE, hands in danger zones and lockout/tagout violations on the floor.

MediaIntel
Why MediaIntel
07 / 10

A ready product — not a raw API.

01

Video-first

Vision built as the core, not text with video bolted on. We read the object in frame and the logo on the desk — the signals crawlers can't.

02

Days, not months

Cloud video APIs and toolkits hand you embeddings and a long build. We hand you a working platform — dashboard, search, integrations — on day one.

03

Grounded

Every generated claim can be cross-checked against sources you trust. Anything the model can't ground is flagged for review, not asserted.

04

Yours, configured

You decide what to read out of every video. Bring your taxonomy and trusted sources — a new detector is a prompt, not a model retrain, so custom signals ship in hours and map to your schema.

MediaIntel
MediaIntel vs. the alternatives
08 / 12

Faster, cheaper — and already a product.

Most video AI is a raw toolkit you integrate for months. We are the finished product — an hour of footage analysed in minutes, for the price of a coffee.

Typical alternatives
MediaIntel
Speed
Tens of minutes per hour of video
under 10 minper hour of video
Cost
From tens to hundreds of $ per hour
From ~$2 per hour analysed
What it is
A raw API + SDK to integrate
A finished product — dashboard, search & alerts on day one
Chat with your footage
Build it yourself
Built in — ask your archive in plain language
Product placement
Not measured
Automated — prominence + exposure in seconds
What it catches
Misses logos under ~10% of the frame
Every logo legible to a human — even a crest on a sleeve
Integrations & context
API only · global, generic
Slack · Teams · webhook · SIEM · broadcast · Polish + broadcast-spec
MediaIntel
The economics
09 / 12

Watch everything — pay for almost none of it.

The real alternative isn’t another tool — it’s your team watching footage. That doesn’t scale, and it isn’t cheap.

20×
more cost-effective than reviewing footage by hand
Our own pipeline turns an hour of video into structured intelligence in a few minutes — work that takes a person far longer, at a fraction of the price.
People watching video
  • An analyst’s time for every hour of footage
  • Fatigue, gaps, inconsistent tagging
  • Cost grows linearly with headcount
MediaIntel pipeline
  • ~1 hour of video → a few minutes
  • Every frame, every camera, in parallel
  • From ~$2 per hour — consistent, around the clock
MediaIntel
Proof
08 / 10

See the pipeline on real footage.

Public demo · Sport

Per-scene tennis tagging

The full pipeline end-to-end on a publicly shared match — ingest → scene segmentation → object & brand detection → per-scene tags with a brand-exposure overlay, in an interactive UI.

Open the live demo ↗ Password MediaIntel2026
Public demo · Retail

In-store theft detection

Loss prevention on store CCTV — the pipeline reads the floor frame by frame and flags suspected concealment and exit-without-pay as timecoded events for review.

Open the live demo ↗ Password MediaIntel2026

Every deployment is built to fit — the interface, outputs and integrations are tailored to your workflow.

MediaIntel
Enterprise
09 / 10

Built to pass procurement.

Security & deployment

  • Data residency — EU, US, or on-prem for enterprise pilots.
  • Your data never trains upstream models. Encrypted in transit and at rest.
  • SSO + full audit log standard. Operator override and reprocessing built in.
  • Your existing cameras and storage — RTSP, ONVIF, S3, Azure Blob, Google Cloud, file dumps, public APIs. No rip-and-replace.
  • Integrations — REST API, webhooks, Slack / Teams, SIEM and broadcast systems.

How we engage

01Discovery~2 weeks — scope your taxonomy, connect a slice of footage.
02Pilot~2 weeks on your real data, measured against ground truth you control.
03ProductionRoll out if the pilot lands — scale by volume and channels.
Commercial shapes
Platform license · processing · integration / SOW
Scoped to volume and engagement — indicative quote on request.
MediaIntel
Let's talk
10 / 10

Stop watching.
Start seeing.

Bring us a slice of your footage and the signals you need from it. We'll come back with an indicative scope and quote within five working days.