DIGITAL ASSET SEARCH & DISCOVERY

FIND THE RIGHT CONTENT, HOWEVER YOU LOOK FOR IT

Search across massive content libraries whether you know the exact asset, can describe what you have in mind, remember a moment inside a video, or simply know what you need to accomplish. Sub-second search across libraries exceeding 100 million assets.

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Customer Since 2022

MORE WAYS TO FIND

SEARCH WHAT YOU KNOW
DESCRIBE WHAT YOU DON'T

Sometimes you know the exact SKU, filename, campaign, or date. Other times you only remember what something looked like or have an idea of the content you need. Orange Logic gives people the precision of structured search and the flexibility of AI-powered discovery in the same DAM.

  • Get exact when exact matters. Search metadata, product IDs, dates, fields, synonyms, Boolean criteria, and other known information.
  • Describe what you have in mind. Use natural language and semantic search when you do not know the exact terminology or tags.
  • Start with something similar. Use an existing asset to uncover visually or conceptually related content.

Find content based on what you know, instead of what the DAM expects you to know.

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Search in Orange Logic’s DAM is based on a multi-engine approach that delivers subsecond response times across libraries.”

CONTENT-AWARE DISCOVERY

FIND WHAT'S INSIDE
THE CONTENT

The information people need is often buried inside an asset, not captured in its filename or metadata. Orange Logic makes the content itself discoverable across images, video, audio, and documents.

  • Search what you can see. Find people, objects, environments, scenes, on-screen text, and visual concepts.
  • Search what was said. Use speech and transcripts to uncover relevant content inside video and audio.
  • Find the moment. Search within long-form media and surface the scenes and segments that match instead of stopping at the file.

Make more of the content you already own discoverable, even when nobody thought to tag what someone eventually searches for.

Caption search finding the moment a runner says running partner inside a video

ADAPTIVE SEARCH INTELLIGENCE

THE SEARCH ADAPTS
TO THE QUESTION

Different searches need different approaches. Orange Logic combines keyword, semantic, visual, language, and media intelligence so search can adapt to what the user is trying to find.

  • Match the method to the question. Use the right search intelligence for exact, descriptive, visual, or contextual queries.
  • Bring context into relevance. Combine meaning, metadata, and content understanding to improve results.
  • Search globally at scale. Interpret intent across 80+ languages with sub-second performance across libraries exceeding 100 million assets.

The user asks the question. Orange Logic determines the best way to find the answer.

Spanish-language AI search returning photos of runners in a park

AGENTIC SEARCH

ASK FOR WHAT YOU NEED
THE AGENT HANDLES THE REST

People should not have to learn your taxonomy, know which metadata field contains the answer, understand the filter structure, or search separately for the rights that govern an asset. The Orange Logic AI Assistant is a native agent that turns what someone is trying to accomplish into the searches, filters, permissions, and rights context needed to get there.

  • Skip the DAM expertise. Let the agent navigate taxonomy, metadata, and filters for you.
  • Ask the business question. Ask what is approved for a market, campaign, or use case and get results grounded in permissions and rights.
  • Refine as you go. Add criteria or follow up naturally without rebuilding the search.

Tell the agent what you need. It handles how to find it.

Orange Logic AI Assistant finding running photos approved for the UK

SEARCH RELEVANCE

PUT THE RIGHT
CONTENT FIRST

Finding a relevant asset somewhere in the results is not enough. Orange Logic gives teams control over how relevance is shaped so the content that matters most to the business rises when people need it, while search can continue adapting as content and user behavior change.

  • Influence what rises. Promote, deprioritize, or pin assets based on what matters to the business.
  • Balance the signals. Use metadata, relevance, engagement, and other signals to shape ranking.
  • See what is being missed. Identify searches that return no results and use those insights to improve discovery.
  • Reveal useful connections. Surface conceptually related content beyond assets that simply share the same explicit tags.

Make search reflect what matters to your organization, not just what an algorithm considers similar.

Search results with pinned campaign photos ranked first

METADATA QUALITY

FIND CONTENT WHERE
THE WORK HAPPENS

Bring governed Orange Logic search into the creative, publishing, business, and AI tools teams already use, while the DAM remains the source.

  • Search without switching tools. Find and use DAM content directly in other applications.
  • Embed the experience. Use SDKs and APIs to bring search, filtering, transformation, and delivery into existing workflows.
  • Extend search to AI. Give agents and AI applications governed access to approved content and context through MCP.

Make search available wherever work happens, without creating another content silo.

Governed Orange Logic search embedded in another application

CUSTOMER SUCCESS STORIES

See how teams make massive content libraries easier to find.

Pearson Scales to 40K API Calls a Minute

Case Studies

Pearson Scales to 40K API Calls a Minute

Pearson uses Orange Logic DAM and MAM to serve educational video at 40,000 API calls a minute.

AFI Opens Millions of Assets to Its Staff

Case Studies

AFI Opens Millions of Assets to Its Staff

With AI in its DAM, AFI opened millions of film assets to its whole staff for the first time.

Managing 20 Million Travel Assets with DAM

Case Studies

Managing 20 Million Travel Assets with DAM

How one of the largest travel sites in the world manages 20 million assets with a DAM system.

DAM SEARCH & DISCOVERY FAQs

What is the difference between AI Search and the AI Assistant in Orange Logic?

AI Search is the intelligence used to retrieve relevant content based on meaning, metadata, visual content, and other signals. The AI Assistant is a native agent that uses those search capabilities on a user's behalf, translating natural-language requests into searches and filters and refining the results through an ongoing conversation.

Can a DAM use multiple AI models for search?

Yes. Orange Logic can use different AI models for different types of search and content rather than relying on a single model. Its supported approach includes models for language and metadata, image understanding, embeddings, and specialized video intelligence, allowing the search architecture to use the capabilities appropriate to the content and use case.

Can administrators control what content AI Search analyzes?

Yes. Orange Logic can configure AI Search around different asset subtypes and determine which metadata fields text-based models analyze. Organizations can also exclude selected asset types from AI processing, which is useful when certain content requires different security or governance treatment.

How does Orange Logic protect customer data when using AI Search?

Orange Logic uses isolated customer environments, with AI accounts provisioned independently for each customer. Its AI Search documentation states that customer data is not trained or shared across customer environments, while normal Orange Logic permissions continue to control what individual users can access.

What is involved in adding AI Search to an existing DAM library?

Existing assets need to be processed and indexed so AI models can create the representations used for semantic and content-aware search. Orange Logic handles this activation and indexing process, and the time required depends on the size of the library and the content being processed. New eligible content can then be processed as it is added or updated.

What should enterprises look for when comparing AI-powered DAM search?

Look beyond whether a DAM offers natural-language search. Enterprise search should support exact and semantic retrieval, understand content as well as metadata, work across rich media, respect permissions and governance, give administrators control over relevance, and operate at the scale of the organization's library. It should also make those capabilities available in the applications and AI experiences where teams actually work. Orange Logic's 2026 search positioning brings these capabilities together through a multi-engine approach rather than treating them as isolated search features.

Make More of Your Content Findable

See how Orange Logic turns massive content libraries into content your teams can find, understand, and put back to work.