Wiser Decisions Start With A Question.

Building the world’s deepest understanding of media.

Qortex applies industry-tuned AI Computer Vision models to private catalogs or public media across web, broadcast, and streaming, tailored to your business challenges.

Insights Trapped in Video

The answers you need are already in video. We help you see them.

Most video models return signals. Qortex is built for problem-solving. Our Computer Vision Models analyze media at a scale no person could review, revealing patterns, opportunities, and business insights that help you ask better questions and make wiser decisions.

Audience
How many times was my brand mentions?

What's my media value across the web?

When does my logo appear?
Sports
How much sponsorship value did we earn on the field?

How many times did players hesitate?

What trends are in my game footage?
Operations
How many vehicles exit after midnight?

Which locations have recurring incidents?

Where are the operational latencies?
Retail
What is the customer flow in-store?

What demographic uses self-checkout?

What products are most visible in user-generated content?
Audience Intelligence
Camera feeds or catalogs turned into findings. Incident review, pattern detection, and reporting.
Sponsorship Intelligence
Every logo, mark, and appearance counted across broadcasts, clips, and reposts.
Operational Intelligence
Video audiences built from what is actually on screen, not from user identifiers. Activated in any DSP.
Retail Intelligence
How your products, packaging, and competitors appear in video you never commissioned.

Video Analysis → Video Answers  

Video is one of the hardest forms of data to understand at scale. A single hour can contain thousands of meaningful visual, audio, text, motion, brand, object, and contextual signals. Multiply that across millions of hours of broadcast, streaming, social, and owned media and generic prompt-based models quickly become expensive, inconsistent, and impractical.

Qortex is built differently. Our computer vision infrastructure analyzes video continuously and at scale, while purpose-built Cognition Models determine which signals matter for the business question being solved.

The Problem

There is no shortage of video and no shortage of things you need it to tell you. What's missing is anything that connects the two at the scale you need, because LLMs or Agents like ChatGPT are expensive to analyze in bulk. So the questions get answered from an expensive sampled piece of data, non-specific content, a manual count, and a confident guess, or they don't get answered at all. And every day someone has to make a call from that data about advertising, sponsorships, content, audiences, media investments, licensing, and AI. Those decisions are only as good as the understanding behind them. Most computer vision platforms stop at detection, search, or metadata extraction. Detection ≠ understanding. Point AI at a shallow read and it won't fail loudly. It will automate the wrong call faster.

Building Understanding

"What is in this video?" vs "What does this mean for my business?"
We read the whole picture.
Our computer vision technology identifies objects, logos, faces, motion, speech, on-screen text, scenes, behavior, and other visual signals, then analyzes the context connecting them.

Our purpose-built Cognition Models transform those signals into business understanding. Instead of asking a generic model the same prompts against every video, Qortex builds intelligence around the specific questions, signals, and outcomes that matter to your business. You get understanding, not just a data dump. Counts, scores, segments, incidents, valuations, and insights delivered into the systems your team already uses. Nothing to decode.

Delivery

No new workflow to adopt. Results arrive as reports, dashboards, data feeds, or straight into the tools your team runs on. We work with your team to determine what works best to answer your business needs. For advertising, that means activation in any DSP through Deal ID or utilizing pre-built segments in select DSPs.

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