Asset proliferation
One title becomes thousands of video, audio, subtitle, artwork, trailer, social, and platform-specific variants.
Content timeline
Move every asset from production to audience faster.
We build media intelligence and workflow products that make large libraries searchable, coordinate localization and versioning, and assist creative operations without losing rights, provenance, or human authorship.
Discuss a real use caseLive product model
01
Ingest
02
Understand
03
Version
04
Rights check
05
Distribute
Where the work breaks
Media workflows are graphs of assets, people, rights, territories, languages, versions, and deadlines. AI creates leverage when that graph remains authoritative and generated material stays clearly governed.
Rights complexity
Availability depends on title, component, talent, territory, language, channel, window, and contract.
Creative trust
Teams need clarity about provenance, consent, authorship, synthetic material, and permitted reuse.
Systems we can build
Products that keep media moving and rights intact.
From ingest to audience, we connect asset understanding, production coordination, localization, distribution, and performance signals.
PRODUCT 01
Media asset intelligence
Transcribe, segment, identify entities, detect scenes, tag assets, and link derivatives back to the source master.
DeliversTimecoded, searchable asset graph
PRODUCT 02
Localization operations
Prepare transcripts, translation drafts, timing, terminology, and review packages across subtitle and dubbing workflows.
DeliversReviewable localized package with version lineage
PRODUCT 03
Rights-aware distribution
Match asset and contract metadata to platform specifications and flag missing rights, materials, or approvals.
DeliversEligible delivery package and exception list
PRODUCT 04
Creative operations copilot
Search prior work, assemble briefs, generate bounded variants, and route every output through brand and human review.
DeliversProvenance-marked creative draft set
Product spotlight
A searchable media intelligence layer
Transcripts, faces, objects, scenes, rights, versions, and campaign usage become one searchable graph while the source asset remains authoritative.
Video, audio, and imagesProduction metadataControlled vocabularies
Decision workspace
1IngestReady
2UnderstandReady
3VersionReady
4Rights checkReview
Who it serves
One asset graph, many creative workflows.
Production
Fast logging, review, approvals, and version clarity.
Editorial
Search by moment, meaning, speaker, object, or transcript.
Localization
Timed scripts, terminology, versions, and approval state.
Distribution
Rights, territory, format, and delivery readiness.
Existing ecosystem
Link MAM, DAM, editing, rights, CMS, and distribution.
We preserve systems of record and add a permissioned product layer for retrieval, orchestration, review, and action.
01MAM and DAM
02Editing and review platforms
03Rights and title management
04Localization vendors
05Distribution and QC systems
06Analytics and audience platforms
Product safeguards
Controls designed for media & entertainment work.
01
Rights enforcement
Evaluate permitted use by asset, component, territory, window, channel, and output purpose.
02
Consent and likeness
Track permissions for voice, face, performance, and training use before generation.
03
Content provenance
Retain source and edit history and expose synthetic status in production metadata.
04
Human creative authority
Require editorial, linguistic, brand, and legal approvals at the appropriate stage.
What improves
Measured in the operation.
01FindabilitySuccessful asset searches and time to locate usable material
02LocalizationReviewer edits, turnaround, and terminology consistency
03DeliveryFirst-pass package acceptance and late exceptions
04ReuseApproved derivatives created from existing assets
05RightsEligibility conflicts caught before publication
06ProvenanceOutputs with complete source, consent, and approval records
Before you build
Rights, provenance, creative control, and model-use questions.
Can the system understand video at scene level?+
Yes. We can combine transcription, shot and scene segmentation, visual features, OCR, speaker information, and production metadata to create timecoded search and retrieval.
How do you handle voice and likeness?+
Consent and rights must be explicit system inputs. We design registries, permitted-use checks, provenance, approval gates, and vendor controls before synthetic voice or likeness features are enabled.
Can AI localize finished content automatically?+
It can accelerate transcription, translation drafts, timing, and quality checks, but professional linguistic, cultural, performance, technical, and rights review remains essential.
Will this replace our MAM or DAM?+
Usually no. We add a multimodal intelligence and orchestration layer that enriches the authoritative asset systems and improves the workflows around them.
Bring us the hard part