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AI FOR MEDIA & ENTERTAINMENT

Custom AI/ML solutions for media & entertainment industry

Custom AI and ML for studios, broadcasters, streamers, and gaming companies. Semantic video search, highlight generation, voice dubbing, and content moderation — built for production workflows.
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$67.5B → $85.4B

AI-in-media-and-entertainment market growth 2025 → 2026 (26% YoY).

93%

Of marketers report improved ROI through AI-driven personalization and automated video customization.

13.1% CAGR

Content-moderation market growth through 2034 — UGC platforms can’t keep up manually.

Achieve immediate, organization-wide results

Six measurable outcomes across underwriting, claims, and actuarial functions — deployed in months, not years.

Semantic Video Search

Conversational search across content libraries by mood, scene, voice, and entity — even without knowing exactly what you want.

AI Highlight Generation

Real-time clip extraction for sports, news, and reality formats. From hours of footage to a publish-ready reel in minutes.

AI Dubbing & Lip-Sync

Voice-preserving translation across dozens of languages with lip-sync — for simultaneous global releases without delay.

Content Moderation

Multi-modal classifiers for nudity, hate, violence, and copyright across UGC and pre-recorded libraries.

Synthetic Voice & Personas

Cloned-voice models for advertising, audiobook, and broadcast use with explicit consent and rights tracking.

Audience & Recommendation ML

Personalization, churn, and content-consumption modeling tuned for streamer/publisher unit economics.

Capabilities across the media & entertainment value chain

Production & Post

  • AI-assisted editing, color, and rotoscoping
  • Synthetic voice for ADR, narration, and ad insertion
  • Scene-detection and shot-classification ML
  • Storyboard-to-rough-cut LLM workflows

Localization & Distribution

  • Voice-preserving AI dubbing with lip-sync
  • Subtitle generation and quality scoring
  • Per-territory thumbnail and trailer A/B selection
  • Release-timing and platform allocation modeling

Content Intelligence & Search

  • Semantic video search across full libraries
  • Highlight and clip generation per format (sports, news, reality)
  • Auto-metadata, tagging, and rights ingestion
  • Knowledge-graph linking for cross-IP discovery

Audience, Trust & Safety

  • Content moderation across UGC and pre-recorded
  • Copyright and IP-infringement detection
  • Personalization and churn modeling per subscriber segment
  • Synthetic-media (deepfake) detection and provenance
From the playbook

How a streaming platform reached 14 markets simultaneously with AI dubbing and cut localization cost 65%

A mid-tier streamer launching 4 original series annually was bottlenecked by manual dubbing — adding 8–12 weeks per language and capping releases at the 5 top-grossing markets. We deployed voice-preserving AI dubbing with lip-sync across their post-production pipeline, integrating with their MAM and QC review workflow. Simultaneous launches expanded from 5 to 14 markets by the third title, localization spend dropped 65% per title (saving ~$1.9M annually), and the QC team redirected to creative review instead of timecode-matching. The same pipeline now feeds an auto-thumbnail and trailer-clip generator that lifted territory-specific CTR 22–38%.

See more case studies →

START TODAY

Speak with a media & entertainment AI expert

A 45-minute scoping call. We’ll come prepared with your appetite, your loss-cost benchmarks, and a directional read on which models move the needle on your line of business.

Ask us about

  • Semantic video search across full catalog libraries
  • Highlight generation for sports, news, and reality formats
  • AI dubbing and lip-sync with voice preservation
  • Multi-modal content moderation and copyright detection
  • Synthetic voice and persona modeling with rights tracking
  • Personalization, churn, and recommendation ML

    Contact Us
    Need experts to collaborate with for your AI/ML journey? Drop us an email and we will get in touch

    Frequently asked questions

    Can your AI dubbing work with our existing post-production and MAM stack?
    Yes. We integrate with Avid Interplay, MediaSilo, Iconik, Frame.io, and most major MAM platforms via standard APIs. Output formats (WAV stems, IMF, AS-11, BWF) match your existing delivery specs. QC and approval workflows route through the review tools your editors and language leads already use.
    Carefully. Every synthetic voice ships with explicit consent documentation, scope-of-use, and revenue-share terms. We support SAG-AFTRA voice-clone framework requirements including informed consent, talent compensation, and the right of refusal. For dubbing, we offer both "voice-preserving" (synthetic) and "talent-cast" (real voice actor) modes.
    Yes. We tune classifiers to your specific policy taxonomy (Trust & Safety category schema, regional law overlays, advertiser-friendly subcategories). Models ship with audit-ready precision/recall reporting per category and per region. We've supported teams through DSA, KOSA, and emerging state-level moderation regulations.
    Yes. The underlying ML platform (media ingest, model registry, monitoring) is reusable across formats. Domain models differ — broadcast/streaming focuses on highlights and personalization, gaming on player-behavior and moderation, creator-economy on rights and recommendation — but most multi-format media companies run one shared stack with multiple model families.

    Explore AI/ML solutions for media & entertainment

    Ready to talk media AI?

    Start with a 45-minute strategy session. We come prepared with a directional read on your line of business and a scoped proposal.

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