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    The Multimodal Data Platform for Media & Entertainment

    Transform content discovery and audience engagement with AI that understands video, audio, images, and text in a unified platform.

    Elevating Media Intelligence

    Our multimodal data platform transforms how media companies understand and leverage content across formats to drive audience engagement and business growth.

    The Mixpeek Difference

    Traditional systems segregate content by type. Our approach analyzes relationships across formats, increasing discovery of relevant content by up to 65%.

    Smart Discovery
    Instant Indexing
    Cross-media Analysis

    Multimodal Content Discovery

    1
    Content Ingestion
    2
    Feature Extraction
    3
    Relationship Mapping
    4
    Discovery Enhancement

    Enhanced Content Discovery

    Connect video, audio, images, and text for comprehensive content understanding and improved discoverability.

    Key Benefits

    • Improve content discoverability across your entire library
    • Increase viewer engagement with more relevant recommendations
    • Uncover hidden connections between content assets

    The Mixpeek Difference

    Conventional analytics focus on what was watched. We analyze how audiences engage across content types to predict what they'll want next.

    Precise Segmentation
    Behavior Analytics
    Real-time Insights

    Comprehensive Audience Understanding

    1
    Data Collection
    2
    Pattern Recognition
    3
    Preference Mapping
    4
    Predictive Modeling

    Audience Intelligence

    Understand viewer preferences and behavior through unified analysis of consumption patterns and feedback.

    Key Benefits

    • Create more accurate audience segments for targeting
    • Predict content performance for specific audiences
    • Personalize experiences based on multimodal preferences

    Customer Success Stories

    See how leading media organizations use Mixpeek to transform content discovery and audience engagement.

    Cutsio

    Reduced editor footage search time by 99% with native RED R3D and ARRI RAW conversion, multimodal decomposition, and visual search across their entire media library.

    Read Case Study

    The Multimodal Data Platform Difference

    Cross-media intelligence

    Extract insights from video, audio, images, and text with AI that understands content context and relationships.

    Unified content repository

    Create a single source of truth for all your media assets, metadata, and performance metrics.

    Audience insights

    Understand user preferences and behavior across platforms to deliver more engaging content experiences.

    Real-World Use Cases

    Discover how organizations are leveraging Mixpeek to solve complex challenges

    Advanced
    7 min

    Sports Highlights

    Auto-generate highlight reels from full-length sports footage

    24x faster

    Highlight generation time

    Who It's For

    Sports broadcasters, media companies, and content teams processing 100+ hours of live footage weekly

    Beginner
    Coming Soon
    7 min

    Asset Intelligence (DAM Auto-Labeling)

    Auto-tag and organize digital assets with multimodal AI

    95% reduction

    Manual tagging effort

    Who It's For

    Creative teams, brand managers, and media companies managing 100K+ digital assets across DAM platforms

    Intermediate
    Coming Soon
    7 min

    Talent Intelligence & Casting

    Match talent to roles using multimodal portfolio analysis

    75% reduction

    Casting search time

    Who It's For

    Casting directors, talent agencies, and production companies managing 10K+ talent profiles

    Advanced

    Video Analytics for Sports Broadcasting

    Unlock play-by-play intelligence from broadcast footage at scale

    Seconds instead of hours per clip

    Moment discovery time

    Who It's For

    Sports broadcasters, league media teams, sports analytics companies, and OTT platforms managing multi-season video archives across multiple sports

    Intermediate

    Media Archive Face Search

    Find every appearance of any person across your entire media archive

    95%+ of appearances found vs. 30% with caption search

    Person search completeness

    Who It's For

    News organizations, entertainment studios, photo agencies, and media archives managing millions of images and video assets featuring identifiable persons

    Intermediate

    Automated Video Tagging for Streaming

    Auto-generate rich metadata for every scene, shot, and moment in your catalog

    10x more tags than manual editorial process

    Metadata tags per title

    Who It's For

    Streaming platforms, content distributors, and VOD services managing catalogs of 10K+ titles that need rich metadata for discovery and recommendation

    Intermediate
    8 min

    Media Archive Intelligence

    Transform decades of media archives into searchable, monetizable assets

    12x more content findable

    Archive discoverability

    Who It's For

    Broadcasters, news organizations, film studios, music labels, and cultural institutions managing archives of 10,000+ hours of video, millions of photographs, or extensive audio collections

    Intermediate
    6 min

    IP & Copyright Detection

    Catch logos and faces in one pre-publication pipeline

    Face + logo in one pass

    Detection coverage

    Who It's For

    Legal and compliance teams, ad agencies, content platforms, and media companies that need to clear video and image content for IP violations before publication

    Intermediate
    6 min

    Visual Taste & Recommendations

    Serve scene-similarity ranked recommendations that learn from every click

    +35-55% vs. tag-based systems

    Recommendation CTR

    Who It's For

    Streaming platforms, e-commerce companies, stock media libraries, and content marketplaces that want to recommend visually similar content based on what users actually engage with

    Frequently Asked Questions

    What is the Multimodal Data Platform for Media & Entertainment?

    The Multimodal Data Platform for Media & Entertainment unifies video, audio, images, and text data into a single, AI-powered platform. This enables media organizations to enhance content discovery, deliver personalized experiences, and optimize audience engagement across all channels.

    How does Mixpeek improve content discovery?

    Mixpeek's platform uses AI to analyze and understand the actual content within videos, images, and audio files-not just metadata. This allows for more accurate content tagging, more relevant recommendations, and improved searchability across your entire content library.

    Can Mixpeek integrate with existing media management systems?

    Yes, Mixpeek is designed to integrate seamlessly with existing media infrastructure, including content management systems, digital asset management platforms, and streaming services. Our flexible API architecture supports standard media formats and protocols.

    Make your archive searchable by what happens in it

    Bring one series or one season. You get scene-level search across dialogue, faces and on-screen action, and a measured answer on how much of your catalogue is reachable today.

    Questions about Mixpeek for entertainment

    How does frame-level video search work?
    Mixpeek analyzes every frame of your video content, extracting visual features, detecting objects, identifying scenes, and transcribing speech. Users can search using natural language queries like 'beach sunset' or 'person wearing red jacket' and get results with precise timestamps to the exact frame. This is the same approach used in reverse video search, where a video clip is used as the query instead of text.
    Can Mixpeek help monetize archived content?
    Yes, by making archived content searchable and discoverable, Mixpeek enables licensing teams to quickly find relevant footage for stock libraries, enables editors to repurpose historical content, and helps content teams identify monetization opportunities through better understanding of content themes and topics.
    What video formats are supported?
    Mixpeek supports all common video formats including MP4, MOV, AVI, MKV, WebM, and FLV. We can process content from S3, GCS, Azure Blob Storage, or your CDN. For uncommon formats, we provide transcoding services as part of the ingestion pipeline.
    How long does it take to process video content?
    Processing speed depends on video duration and selected analysis features. Typically, videos process at 5-10x real-time speed. A 1-hour video with full analysis (scene detection, object recognition, speech transcription) processes in 6-12 minutes. Batch processing of large libraries can be parallelized for faster completion.
    Can Mixpeek identify specific people or celebrities in videos?
    Mixpeek can detect faces and group similar faces together. For specific person identification, you can provide labeled reference images to train custom face recognition models. This is commonly used for talent appearance tracking, sports player identification, or branded content analysis.
    Does Mixpeek support multi-language content?
    Yes, speech transcription supports 50+ languages including English, Spanish, French, German, Japanese, Mandarin, Hindi, and Arabic. Visual analysis (scene detection, object recognition) is language-independent. You can search content across languages using translations or language-specific queries.
    How does scene detection work?
    Mixpeek uses computer vision to detect scene boundaries based on visual changes, camera cuts, and content transitions. Each scene is analyzed independently for objects, actions, settings, and visual themes. Scenes are automatically segmented and timestamped, enabling scene-level search and navigation.
    Can we customize metadata extraction for our specific content types?
    Yes, Mixpeek supports custom extractors tailored to your content. Examples include sports-specific event detection (goals, fouls), news-specific entity extraction (people, locations, organizations), or genre-specific classification. Custom models can be trained on your labeled data.
    What about content moderation and compliance?
    Mixpeek can detect sensitive content including violence, nudity, profanity, and other content types requiring moderation. This supports compliance with broadcasting standards, platform policies, and regional regulations. Results include confidence scores and timestamps for review workflows.
    How much does it cost to index a large video library?
    Pricing depends on total video hours, analysis features enabled, and storage requirements. We offer volume discounts for large libraries (10K+ hours) and can provide dedicated processing infrastructure for very large collections. Contact us for a custom quote based on your specific needs.

    Build this in the docs

    The extractors and retrieval stages this solution runs on, with API reference and worked examples.

    Run this on your own media & entertainment content

    Point Mixpeek at the storage you already have and search your video, images, audio, and documents the way this page describes. Build starts at $25/mo for up to 1M vectors.