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On-prem audio fingerprinting
Music and dialogue fingerprinting at scale, on the studio's own infrastructure — content-ID, rights tracking, and royalty workflows without an external dependency.
Industry · Media & Entertainment
Sovereign media intelligence,
from transcription to fingerprinting.
Indian media houses sit on decades of archive that should be searchable, monetisable, and protected — not surrendered to a foreign cloud to make it indexable.
§ 01The problem
Your archive is the asset. Treat it like one.
Hundreds of thousands of hours of footage, audio, and editorial sit in Indian media archives — most of it not searchable, much of it not even indexed. Putting that asset through a foreign cloud is a strategic mistake; it concentrates value in someone else's stack.
Marxen builds on-prem and studio-LAN AI for transcription, fingerprinting, content intelligence, and creative tooling — at production throughput, with the archive staying in the institution's storage.
§ 02Use cases
Where AI earns its place. In media.
Ten concrete workflows where Marxen has deployed — or can deploy — sovereign AI in media institutions.
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Large-scale transcription pipelines
Tens of thousands of hours of Tamil, Hindi, Telugu, and code-switched audio transcribed with speaker separation, timestamps, and speaker diarisation. Production-grade output.
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Subtitling and vernacular dubbing prep
Subtitle generation in multiple Indic languages, with timing and rendering rules respected. Vernacular dub scripts as a working first draft for the dubbing studio.
- 04
Metadata enrichment for the archive
Auto-generated scene descriptions, named-entity tags, topic tags, and speaker IDs across the archive — making decades of footage queryable.
- 05
Clip discovery for editorial
News and documentary editors ask in plain language — 'show me clips of the 2018 Kerala floods with a politician on camera' — and the system finds them.
- 06
Brand-safe ad placement intelligence
Scene-level safety classification so brand and ad-ops can place spots with confidence — and without sending master assets to a third party.
- 07
News story generation assistance
First drafts of explainers, listicles, and recaps grounded in the publication's own archive and style guide. Editor curates.
- 08
Audience and content analytics
Plain-language narration over watch data, drop-off analysis, and content-performance metrics — for editorial and programming heads.
- 09
Rights management automation
Contracts, licences, and territory restrictions parsed and structured. Editorial knows what can run where, before the lawyer is in the meeting.
- 10
Music ID and royalty intelligence
On-prem music identification across the archive, with confidence scores and royalty-rate context for the rights desk.
§ 03The Marxen approach
Production-grade, on-prem. Built for studio LAN throughput.
Studio-LAN deployment
Models served inside the media-house network with throughput sized for archive ingest, not POC volumes.
Indic-first ASR
Tuned for Tamil, Hindi, Telugu, Kannada, Malayalam, and code-switched broadcast English. Speaker diarisation as default.
Vision pipelines
Scene detection, OCR over lower-thirds, face recognition where consented, and brand-logo detection — on the studio's own GPUs.
Editorial-grade UX
Search, retrieval, and clip pulling built for the speed of an editorial room — not a generic data dashboard.
§ 04Compliance
Archives stay inside the studio.
Master files, unaired material, and editorial archives do not leave the institution. Models do not train on your IP. Watermarking and provenance metadata are first-class outputs.
Brand-safety classifiers and content-rating outputs are auditable for advertising and regulatory review.
- DPDP Act
- Copyright / IP
- Brand safety
- Provenance metadata
Start a media conversation
Tell us your use case. We'll tell you honestly whether sovereign AI is the right move.
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