Lyriko Tagging
Lyriko Tagging automates and optimizes the tagging of multimedia promotional and medical content using AI-powered algorithms, ensuring seamless synchronization with any Digital Asset Management system.
This solution supports a wide range of applications, including Next Best Content, customization, and content orchestration.
Key Features
Customizable Taxonomy
Seamless DAM Integration
Asset Search and Reuse
Scalable
Solution
Next Best Content Enabler
How does it work?
- Read and Analyze Content: Lyriko scans all multimedia content (text, images, video, audio) in the Digital Asset Management (DAM) system.
- Apply Semantic Tags: AI algorithms automatically assign highly accurate, customizable semantic tags to content.
- User Review and Refinement: users can confirm, modify, or add tags via an intuitive interface for enhanced control.
- Seamless Synchronization: tags are updated in the DAM, ensuring easy access across the omnichannel ecosystem.
KPIs
manual tagging
Accuracy
Reuse
Rating
content/day
See Lyriko Tagging in action!
FAQs
What is content tagging, and why is manual tagging a problem in pharma?
Content tagging is the process of assigning descriptive labels (tags) to digital assets, documents, images, videos, audio, so they can be searched, organized, reused, and monitored. In pharma, doing this manually across libraries of thousands of multimedia assets is slow, costly, and inconsistent, producing incomplete or contradictory tags that block search, omnichannel orchestration, and AI initiatives.
What is automated (AI) content tagging and how is it different from manual tagging?
Automated content tagging uses AI to read assets and assign semantic tags automatically, instead of having people label each file by hand. It is far faster, more consistent, and avoids the typos and gaps that make manual tags unreliable. Lyriko Tagging is up to 93% faster than manual tagging with up to 98% accuracy.
What is Lyriko Tagging?
Lyriko Tagging is an AI-powered platform that automates and optimizes the tagging of multimedia promotional and medical content, with seamless synchronization to any Digital Asset Management (DAM) system. Developed by Hyntelo, it is one of the most comprehensive content tagging solutions for the pharmaceutical industry.
How does Lyriko Tagging work?
Lyriko works in four steps:
(1) it reads and analyzes all multimedia content (text, images, video, audio) in your DAM;
(2) AI algorithms automatically assign accurate, customizable semantic tags following your taxonomy;
(3) authorized users review, confirm, modify, or add tags through an intuitive interface;
(4) tags sync back automatically to the DAM (e.g. Veeva PromoMats) for the whole omnichannel ecosystem.
How does Lyriko tag images and videos?
Lyriko applies visual tagging to images and videos using proprietary AI models. For images it classifies content and people attributes such as age, gender, and emotion, and recognizes objects, including custom-trained items like specific medical devices or packaging. For video it extracts key frames and transcribes audio via speech-to-text, then tags the result.
What file formats and media types does Lyriko support?
Lyriko supports a wide range of formats across four media types: documents (PDF, DOC/DOCX, PPT/PPTX, XLS/XLSX, TXT, CSV, HTML), images (JPG, PNG, GIF, TIFF), audio (MP3, WAV, M4A), and video (MP4, AVI, MOV and more). Whatever the input, each document is reduced to two content types for processing — text and images: audio is transcribed to text, and video is split into its audio track (transcribed) and key frames (images).
How accurate is Lyriko's content tagging?
Lyriko delivers up to 98% accuracy on text, around 97% on trained image content, and roughly 96% on video and audio transcripts, typically 10% higher tagging accuracy than the top market alternative. Users can set a confidence score to control the quantity and quality of tags applied.
Does Lyriko integrate with Veeva PromoMats and other DAM systems?
Yes. Lyriko integrates natively with Veeva Vault PromoMats and synchronizes tags directly into it, no manual bridge required. It is also designed to integrate seamlessly with any DAM or regulated content management system, making tagged content available across the entire ecosystem.
What types of tags can Lyriko apply?
Lyriko applies four tag types. Automatic Tags are extracted by trained ML models directly from the text, covering medical entities like conditions, anatomy, medications, and tests & treatments. Structured Tags use a supervised approach, selecting from predefined, client-approved whitelists. Custom Tags use an unsupervised approach, where the AI generates tags freely from a category description, with no predefined list. Visual Tags are extracted from images via object detection and face analysis (gender, age, emotion).
Can Lyriko use a custom taxonomy specific to my organization?
Yes. Lyriko’s medical tagging uses Named Entity Recognition (NER) with entity linking to comprehensive medical taxonomies such as UMLS and MeSH, then remaps the results onto your organization’s custom taxonomy. This lets the AI recognize your specific products, indications, and terminology while keeping tags standardized and consistent.
Is there human oversight in the tagging process?
Yes, Lyriko keeps a human in the loop. AI does the heavy lifting, but authorized users define the taxonomy, set the confidence score, and supervise, confirming or modifying tags before they sync. The AI handles scale while your team keeps the final say, which is essential for regulated content.
What are Key Messages in Lyriko content tagging?
Key Messages are a special type of structured tag: instead of single words or short labels, they are complete phrases, clinical statements or promotional messages, matched against product-specific, pre-approved whitelists. Unlike standard tags that identify individual entities, Key Messages capture validated claims already approved by the medical-regulatory team, helping teams find and reuse on-message content.
What are the benefits and ROI of automated content tagging?
Automated tagging lowers costs, speeds time-to-market, and powers smarter omnichannel. With Lyriko, organizations tag content up to 93% faster than manually, cut duplicate content, increase content reuse, improve searchability, and build reliable data foundations for AI, while reducing compliance risk from using outdated or non-compliant assets.
How does content tagging enable Next Best Content and omnichannel personalization?
Accurate tags make every asset findable and comparable, so marketing and sales can recommend the right content for each HCP and channel. Lyriko enables Next Best Content suggestions, personalized newsletters, and content-sharing monitoring, reportedly improving customer engagement by around 22% and marketing-plan adherence by around 20%.
Is Lyriko suitable for regulated pharma content and GxP compliance?
Yes. Lyriko is built for regulated pharma content, with GxP and AI governance baked into the workflow and audit-ready oversight. It handles complex, nuanced taxonomies and works multi-format and multi-language across markets. Companies like Novo Nordisk and Organon use it at enterprise scale, Organon has tagged over 30,000 materials across 60+ markets at 98% accuracy.
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