Your content pipeline just got smarter

Your ingest queue is growing. Your archive is unsearchable. Your logging team is buried. EyePop.ai helps broadcast teams fix all three without long AI projects, custom model training, or extra operational drag.

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Intelligence at Ingest. Not after.

Extract rich visual metadata as footage enters your production pipeline before it ever reaches an editor or logger, fully customizable to your metadata needs.

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Classify and tag footage at ingest agentically
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Detect scenes, objects, and visual events in video and frame sequences
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Extract on-screen graphics, lower-thirds, and visual attributes
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Enrich footage with searchable, time-coded metadata your pipeline can act on

Modern production stacks already capture everything. EyePop.ai helps you understand it, without adding complexity to the infrastructure you've spent years building.

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Running in your pipeline in days. Not quarters.

Customize and drop into your existing pipeline via API. No model training, no new infrastructure, no six-month runway. You define what you need, we handle the rest.

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No model training required. Fully customizable.
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No pipeline migration. Drops into your existing ingest workflow via API.
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No ML team needed. Structured outputs your engineers can integrate directly
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Pilot on your actual content before any commitment.

Most AI projects stall before they ship. EyePop.ai is built to be running in your existing pipeline in days, on your actual content to meet your specific needs.

Built for broadcast and media architecture

EyePop.ai is designed to fit into existing security workflows. No redesign required.

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Ingest-time intelligence

Process file deliveries, live feeds, and proxy uploads before they hit your production systems.

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Edge inference

Run lightweight workflows and pipelines close to encoders, gateways, or on-premises infrastructure.

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Pipeline enrichment

Push structured visual metadata into your existing workflows for faster search, filtering, and reuse.

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Archive-ready outputs

Turn visual signals into cacheable, retrievable metadata artifacts, making dark archives searchable and monetizable.

Reduce manual logging without slowing your pipeline.

With EyePop.ai Abilities, you can ship visual intelligence features quickly, without a long research cycle or custom build.

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Turn ingest into instant intelligence

Agentically tag footage at upload with scene type, object, and any visual attributes you need,

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Surface only the content that matters

Help editors find specific shots and moments without scrubbing timelines manually.

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Speed up logging and editorial work

Enrich clips automatically so your team can focus on what needs attention first.

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Customizable media flagging at ingest

Define the rules. Flag any content that violates your brand standards before it enters your pipeline.

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Turn long form videos into short clips

Auto-detect key moments to generate highlights, promos, and clips agentically.

Scale your content operations. Not your headcount.

High-volume ingest and production workflows demand predictability. EyePop.ai provides…

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Frame-rate and resolution controls tuned for broadcast quality standards
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Per-show, per-channel, and per-format configuration
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Conditional routing to apply heavier analysis only when a clip meets your criteria
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Cacheable results so you never re-process the same footage twice

You control latency, accuracy, and cost, without managing a training pipeline or waiting on an ML team to deliver.

Broadcast-grade by default

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Private cloud and on-premises deployment options
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Customizable task and output definitions without model training
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Data isolation. Your content stays in your environment
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Audit-friendly, time-coded outputs for compliance and rights workflows
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SLA-ready infrastructure designed for production, not pilots

Built for production teams that can't afford to take an outage, rebuild a workflow, or wait six months for a model to be trained.

Composable intelligence pipelines

Chain Abilities to build smart workflows. Apply heavier analysis only when a clip meets your criteria.

Classify

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Route

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Enrich

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Deliver

Integrate fast into existing workflows

Simple deployment options make it easy to install into your existing pipeline without slowing production, ops, or other priorities.

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SDKs & APIs

Python and Node SDKs with stable endpoints.

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Versioned abilities

Deploy updates without breaking workflows.

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Evaluation tools

Validate performance before rollout.

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Observability

Monitor inference and usage at scale.

Why broadcast and media teams choose EyePop.ai

Most visual intelligence solutions assume you'll train, tune, and maintain models. EyePop.ai is built for teams shipping product, not running experiments.

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Automated clip logging
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Search across footage
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Detection and classification
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MAM and DAM metadata enrichment
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Banned and watermark detection

Less experimentation. More shipped capability, and more value extracted from every frame of content you already own.

From dark archive to differentiated product

Move from "record and hope someone can find it later" to an intelligence layer your teams can search, trust, and scale across every content type.

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Faster editorial review and content discovery
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Dramatically reduced manual logging and tagging overhead
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Searchable, consistent metadata across your entire asset library
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New visual intelligence features you can offer your platform's customers

...without expanding your ops footprint, migrating to a new platform, or stalling your product roadmap.

Discover the quickest way to start, today

Contact us and we’ll walk through your current upload flow and identify where agentic visual intelligence can cut queue time and unlock the content value you're already sitting on.

View CDN documentation →