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WHY COACTIVE

Context you define. Intelligence you own.

Coactive is the contextual intelligence layer for modern media, turning content into new insights, richer customer experiences, and durable revenue streams.

Bringing context to content
AI can map your content. Only you can give it meaning.
Dynamic Tags is an intent translator unlike anything else in the market.
Dynamic Tags is an intent translator unlike anything else in the market.
Every project you've tried to run against your archive failed the economics. That's a distribution problem, not a value problem.

Context is everywhere in media, and it is deeply subjective. A "happy family" is a multigenerational dinner to one brand and a couple on a beach to another.  Most contextual AI works the same way: someone else defines the taxonomy, trains the model, and maps it to your content. You rent their intelligence and wonder why it never quite fits.

Coactive is built so humans set the intent and machines deliver it at scale. You define what a moment means for your brand, your audience, your editorial standard, and Coactive makes it so you can search & analyze that definition across petabytes of images and video.  Anybody can help you find a moment in your content. Coactive helps you find your moment.

You define the taxonomy.
Your context, your language, your standards. The intelligence is yours to own, inspect, and export.
Zero-shot from day one.
Start immediately with no training data. Refine with human feedback. Never wait on a model retrain or an ML team's backlog.
Verify every decision.
See every moment that matched, not just a score. Browse, verify, and refine in the interface before anything ships. Every classification is inspectable, exportable, and explainable.
One Platform, Unified Intelligence.
Your archive is a compounding asset. Most organizations treat it like a cost center.
Your archive is a compounding asset. Most organizations treat it like a cost center.
Dynamic Tags is an intent translator unlike anything else in the market.
Every project you've tried to run against your archive failed the economics. That's a distribution problem, not a value problem.

Every project your teams want to run against your content, from sponsorship reporting to fan search to editorial workflow to contextual advertising, gets scoped as a standalone. Each one requires ingesting the content, each one carries its own cost, and each one fails to pencil out on its own. So the archive sits. You know the value is there. The economics just never work.

Coactive changes the math. Index your content once and distribute that cost across every use case you want to run. The marginal cost per project collapses. And because every team draws from the same intelligence layer, the value compounds: search, editorial workflows, personalization, creative intelligence, sponsor measurement, content recommendations, contextual advertising, and more all running from the same indexed understanding of your content, without re-ingesting or re-tagging anything.

Index once, power everything.
The same embeddings and metadata power ad products, suitability scoring, discovery, editorial, and analytics. Every team works from the same understanding of your content.
Moment-level precision.
Signals resolved at the moment, scene, and video level. Never just the title or channel. As granular as your use case demands.
Query content like a database.
Natural language or SQL, across systems, in seconds. Not weeks of manual review and one-off vendor requests.
Composable by Design
Take what you need. Build what you want. We meet you where you are.
Dynamic Tags is an intent translator unlike anything else in the market.
Use our apps or build your own. We meet you where you are.
Coactive fits where you are today and grows with you.

Coactive is built as a flexible data platform. Work with it the way that fits your team, your stack, and your goals. Each company's technical and business needs are unique. Our goal is to help you move quickly to fill gaps, making it easy to get started and even easier to grow.

Keep your content where it is.
Read-only access to your library, wherever it lives in cloud storage. No migration of your raw assets required.
Best-of-breed modeling.
Coactive does not build AI models, but we are experts at picking them (see mediaperf.org) & building on them. Flexibility to run models in our environment or via AWS Bedrock, depending on your team, infrastructure requirements, and security posture.
Use our apps, our APIs, or both.
Use Context Studio, Dynamic Tags, or Agentic Search, or call each API directly and build your own aggregations, packaging, and experiences. Intelligence flows to your downstream systems however they need it: API responses, direct exports, or native integrations with your ad server, DAM, or analytics platform.

Use Cases

Every workflow, one layer of intelligence.

Coactive gives every team the ability to extract its own signals, on its own terms, from the same unified layer.

Contextual advertising

Turn your content library into a precision-targeted, privacy-resilient data asset: enriching audience signals, powering contextual placement, verifying brand suitability, and giving buyers the explainability they need to justify every dollar. Context Studio, our flagship application built on the platform, takes this from brief to activation-ready package.

Content operations & workflow

Eliminate manual tagging from production and publishing pipelines. Enable any team to surface any asset in seconds using natural language, across every format and archive, without waiting on metadata. Turn your content into a co-pilot that scales productivity.
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Content moderation & brand suitability

Identify and flag harmful content at the moment, scene, and video level, based on your unique brand and community guidelines. Replace blunt keyword blocks with placement-level suitability scoring, and auto-moderate at scale while preserving editorial judgment for edge cases.
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Audience Targeting

Reach the right viewers by translating what they watch into scalable, sellable audience-aligned inventory. Turn audience objectives into contextual definitions.
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