DIGITAL ASSET MANAGEMENT

Enhancing DAM with generative AI

Discover how generative AI accelerates asset ideation and creation, enhances the ability to find and re-use assets, and maximizes the return on DAM investments while streamlining creative processes
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GENAI SOLUTIONS FOR DAM

Augment your DAM platform with generative AI

The examples below highlight where Vertesia's generative AI platform delivers unprecedented scalability, efficiency gains and new capabilities for DAM managers and creative teams
New asset ideation and creation

When trained on brand guidelines and existing assets, GenAI can propose fresh design concepts or copy variations. Think of it as an “idea generator” that pulls from all your stored assets and style guides.

Automated asset intake and preparation

When new assets enter your DAM, you can automatically prepare them for Retrieval-Augmented Generation (RAG) so that the GenAI models have the best possible data for accurate and relevant results. 

Metadata enrichment

AI-driven transcription services convert audio or video into text, and image-recognition models identify objects, people, or contexts in visual assets. This data is then embedded as metadata in the DAM.

Advanced search and retrieval

Generative AI powers natural language queries (“Show me last quarter’s trade show booth photos”) and similarity-based search (upload an image and find visually similar ones). It can also parse incomplete or “fuzzy” user queries, returning surprisingly accurate results.

De-duplication and asset sanitation

Generative AI identifies near-duplicate files—even if they’re slightly cropped, recolored, or saved under different names. Beyond just duplicates, AI can also “sanitize” your library by cleaning up inaccurate metadata, removing broken links, and unifying taxonomies.

Content derivatives and transformation

Based on your specifications—dimensions, format, language—GenAI can automatically produce derivative files (e.g., a vertical social cut from a 16:9 video). It can also merge multiple assets, like combining voiceover with new on-screen text.

Translations, localization and multilingual support

Large Language Models (LLMs) can translate metadata, on-screen text, or even entire documents into multiple languages. They can also adapt visuals, adjusting color palettes and imagery to respect regional norms or cultural preferences.

Intellectual property (IP) protection and compliance

By cross-referencing usage rights and expiration dates in metadata, AI flags assets nearing or exceeding licensed terms. It can also identify suspect use of brand logos or restricted content in new uploads.

Content personalization

By tapping into user preference data, GenAI can generate unique image/text variants tailored to specific segments or even individuals. For instance, an e-commerce brand might produce customized product imagery for different user personas.

LEARN

Discover the latest DAM insights

READ THE PAPER
WHITE PAPER

DAM without AI is just storage: here’s what you’re missing

This white paper explores how generative AI (GenAI) directly addresses top DAM challenges. It also covers implementation considerations, the measurable outcomes you can expect, and how to overcome GenAI adoption hurdles.

GET THE PAPER
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CUSTOMER STORY

How a leading consumer product company enhances their DAM and streamlines creative processes with Vertesia

The global consumer product company handles approximately 2,000 daily asset ingestions into their Digital Asset Management (DAM) system, which houses product and art information

Situation

The company was heavily reliant on manual metadata tagging by librarians, a costly and inefficient process that resulted in incomplete and inconsistent data, poor asset findability and reuse.

Solution

The company deployed the Vertesia platform to automate asset ingestion, metadata tagging and enrichment. The platform enables additional use cases including creative ideation, automated image generation and improved manufacturing processes.

Impact

 Vertesia streamlined asset findability, improved data consistency, and set the foundation for future GenAI-driven workflows.
SEE VERTESIA IN ACTION

Watch a Demo

This demo video explores how the Vertesia platform leverages image generation models like Google's Imagen and Amazon's Nova for asset ideation that is fast, intuitive, and fun. It also shows three different, easy to use, methods for generating AI prompts — no AI experience or prompt engineering needed.

The demo also shows how we automatically enrich asset metadata for advanced search and re-use.
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WHY VERTESIA?

The future of DAM is GenAI-powered

Vertesia’s platform is the key to unlocking the full potential of your DAM investments, providing unmatched precision, efficiency, and scalability in an ever-changing digital landscape
scalability
Scalable
We ensure adaptability and long-term value through cutting-edge GenAI technologies
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Unified
Reduce complexity by leveraging our unified, low-code platform for building DAM-related AI services
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Efficient
Vertesia minimizes resource-intensive maintenance and simplifies workflows
time-savings
Fast
Vertesia enables the rapid deployment and scaling of GenAI capabilities
Built by the same team who developed  nuxeo-logo — a leading enterprise content and digital asset management (DAM) platform — the experts at Vertesia bring unmatched expertise in content management, DAM architectures, and how generative AI can revolutionize your DAM processes.
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Ready to enhance your DAM and creative process with generative AI?

Schedule a live demo and we'll show you what generative AI can do for your DAM