Intelligence that finds your content and acts on it.
Most AI in media management only handles tagging and searching. Nomad Media goes further. Multimodal embedding search retrieves by meaning across every frame, word, and scene, and agents can act on what it finds: enriching, clipping, routing, and delivering content automatically. AI handles the work. Humans handle the decisions.
What Nomad Media AI Enables
From detection to delivery. AI that does more than label your content.
Generative Metadata
Manual tagging is the bottleneck that keeps most media libraries from being truly searchable. Nomad Media generates labels, concepts, transcripts, captions, and summaries automatically at ingestion, so every asset enters your library fully enriched, without anyone lifting a finger.
Face Recognition & Person Tagging
Finding every appearance of a specific person across thousands of hours of footage is impossible to do manually. You can train Nomad Media to recognize individuals once, and it will tag every appearance across your entire library at the timecode level across videos, images, and live streams. Face data is secure and stays exclusively in your account, never shared.
Automated AI Workflows
Getting alerted that something happened is not the same as having it handled. Nomad Media's agents go from detection to action. When a moment is identified, an agent can clip it, reformat it vertically, tag it to your taxonomy, and route it to its destination automatically. Define the trigger once; let the platform do the rest.
Search by Meaning, Not by Tags
Keyword search only finds what someone already labeled. Nomad Media uses multimodal, embedding-based search to retrieve by meaning across visuals, audio, and speech, so phrases like "press conference in the rain" or "CEO announcing a record quarter" returns the exact timecode, even if no one ever added a tag.
Key Platform Capabilities
The full intelligence layer, from enrichment and search to agents and open access.
Most archives contain content nobody knows is there: unlabeled footage, untagged moments, uncatalogued faces. Nomad Media's visual analysis models examine every frame to generate labels, concepts, extracted text, and content moderation flags automatically, surfacing content you didn't know existed and making it immediately searchable.
Every spoken word in your library is a search opportunity. Nomad Media generates accurate transcripts and subtitles automatically, triggers alerts when specific words or phrases are detected, and powers compliance monitoring workflows, all without manual review. Every piece of audio becomes discoverable, citable, and actionable.
A two-hour recording isn't useful until someone has described what's in it. Nomad Media automatically generates paragraph summaries, chapters, captions, and segment markers from long-form content, turning raw recordings into described, navigable, monetizable assets without the need for manual review cycles.
Nomad Media is not a walled garden. Your media library is accessible to Claude, your internal copilot, or any AI tool through an open MCP interface, a stable public API, and signed webhooks. AI inside Nomad Media. Nomad Media inside AI. Bring your own agent and let it work alongside ours.
Models We Build On
Trusted Across Industries
From broadcast archives to courtroom evidence, Nomad Media's intelligence layer adapts to the way your industry works.
Corporate
Hours of training recordings, town halls, and executive communications sit in archives that nobody can efficiently search. Nomad Media transcribes, tags, and makes every session searchable by topic, speaker, or keyword, so your team finds what they need in seconds instead of scrubbing through recordings.
News Organizations
When a story breaks, your archive is either an asset or an obstacle. Nomad Media transcribes and tags public figures automatically, so journalists can surface relevant archive footage, quotes, and b-roll by meaning in seconds.
Government & Public Sector
From drone feeds and body cameras to court proceedings and emergency response recordings, government operations depend on real-time video intelligence with no room for lag. Nomad Media delivers low-latency live video streaming, automatic transcription, and timecode-accurate tagging with face recognition, chain-of-custody controls, and a full audit trail.
Worship
Every sermon, service, and special event your community produces is a resource, but only if people can find it. Nomad Media transcribes every recording automatically, tags speakers, and generates subtitles for accessibility, so your congregation can search the full archive by topic, speaker, or scripture reference.
Enterprise-Grade AI Infrastructure
Frequently Asked Questions
Nomad Media offers comprehensive AI capabilities powered by AWS services including Amazon Rekognition and Amazon Transcribe. Core capabilities include face detection and person recognition, audio-to-text transcription for subtitle and caption generation, image-to-text analysis that generates labels and concepts from video frames, text detection, content moderation to identify adult or sensitive material, and intelligent search using Large Language Models. The platform also enables automatic summarization of long-form content, media refinement and modification through text prompts, and both cloud-based and edge-based live video analysis with real-time alerting.
Yes. Nomad Media uses audio-to-text models to automatically generate subtitles and captions from the audio track of your videos. The platform has been using audio-to-text models for many years for subtitle creation. Additionally, through Generative AI text summarization, you can automatically create caption information, chapters, and annotations for videos. For large video and audio libraries, this capability provides accurate descriptions without manual transcription work.
AI-powered metadata refers to the information that Nomad Media's Generative AI automatically creates about your content. Instead of manually tagging and describing media, the AI analyzes your content and generates metadata including labels (objects like "basketball," "chair," or "car"), concepts (themes like "concert," "gambling," or "friendship"), face recognition tags with person names at the timecode level, transcripts and subtitles from audio tracks, text extracted from images (like license plates), content moderation flags, automatic summaries, and chapter markers. This metadata makes your content searchable, discoverable, and more valuable for monetization. The AI uses a combination of audio-to-text and image-to-text models to create this comprehensive metadata package.
For people: Yes. Face detection starts by "training" faces as they are uploaded to Nomad and cataloged by AWS Rekognition. You use the Nomad interface to give a name to each group of similar faces. The system creates unique face "thumbprints" that are stored only in your account, and you map those thumbprints to names. This training data stays exclusively in your account and never leaves.
For specific terminology: Yes, to an extent. Nomad Media can utilize specialized models for domain-specific terminology. For example, models can be trained to be highly proficient at identifying medical terminology from audio tracks. These models follow two tracks: generic and specific. However, it's important to note that Nomad Media uses pre-trained models from sources like Hugging Face rather than training custom models on your content.