Media & Entertainment
Media companies often own more content than they can find, package, license, or monetize. We automate the rights, metadata, and production operations that turn a content library into a working business.
Where media operations get stuck
The library grows faster than the systems that manage it.
- Content archives nobody can search by topic, talent, or rights status
- Transcripts and subtitles generated by hand or outsourced and slow
- Rights and licensing records spread across spreadsheets and emails
- Royalty calculations done manually and late
- Sponsor deliverables tracked in a note that someone forgot to update
- Publishing across YouTube, podcast, web, and social handled piece by piece
Results That Matter
Real impact from automation solutions delivering measurable business value
For controlled IP and sensitive content
From discovery to a working automation
We work with your existing library and tools
Clean metadata and rights trail per asset
Key Features & Benefits
Comprehensive automation solutions designed specifically for your industry
Asset Tagging & Metadata Enrichment
Auto-generate descriptive metadata — topics, people, places, products, moods — against your taxonomy, so archives become searchable by what's actually in them.
- Vision + speech + text analysis
- Mapped to your controlled taxonomy
- Review queue for edge cases
- Pushed into DAM / CMS
Transcript & Subtitle Workflow
High-quality transcripts and subtitles generated from your library, with accuracy review, speaker identification, and translation — ready for publishing or licensing.
- Multi-language transcription
- Speaker identification
- Subtitle formatting (SRT, VTT)
- Editor review queue
Rights & Licensing Database
Rights, licenses, and restrictions captured in a structured database linked to every asset — with renewal alerts, territory filtering, and usage logs.
- Asset-level rights records
- Renewal and expiry alerts
- Territory and use-case filtering
- Usage history per license
Royalty Calculation Support
Pull from distribution reports, sponsorships, and licensing data to support royalty calculations — with a full audit trail so the numbers are defensible.
- Multi-source data aggregation
- Rate-card and contract application
- Exception queue for ambiguous splits
- Audit trail per payee
Sponsorship Deliverable Tracking
Sponsorship and brand-partnership commitments tracked per deliverable, per platform, per asset — with auto-generated proof-of-performance reports.
- Deliverable tracking per contract
- Platform-linked verification
- Proof-of-performance reports
- Renewal readiness flags
Multi-Platform Publishing Pipeline
One source of truth for an episode, a video, or a post — published across YouTube, podcast, web, and social with platform-specific formatting and scheduling.
- Single source, multi-destination
- Platform-specific formatting
- Scheduling and embargoes
- Cross-post analytics consolidation
Automation workflows we build
Reusable patterns we adapt to your specific tools and processes
Asset tagger
Vision + speech analysis pushed to your DAM taxonomy.
Transcript workflow
Multi-language transcripts with speaker ID and review.
Subtitle pipeline
SRT / VTT generation for every long-form asset.
Rights database
Per-asset licenses with renewals and territory rules.
Royalty calculator
Distribution + licensing data to defensible payouts.
Sponsorship tracker
Deliverables per contract with POP reports.
Publishing pipeline
One episode out to YouTube, podcast, web, and social.
Archive search
Semantic search across transcripts and metadata.
Transform Your Challenges Into Opportunities
See how automation solves common industry pain points
Archive content nobody can find because metadata is thin
Auto-tagging against your taxonomy with review queue for edge cases
Transcripts are a bottleneck for publishing and licensing
Transcription + speaker identification + editor review in one workflow
Rights questions take hours to answer
Structured rights database with territory and use-case filters
Royalty statements arrive late and get disputed
Automated aggregation with audit trail per payee
Publishing the same episode to every platform takes a day
One source of truth, platform-specific formatting, scheduled delivery
The Transformation
See the difference automation makes
Before Automation
- Archive searches fail because metadata is thin
- Transcripts done manually or slowly outsourced
- Rights looked up by asking a colleague
- Royalties calculated late in spreadsheets
- Sponsorship POP reports assembled by hand
- Publishing to each platform is a separate task
After Automation
- Archive searchable by topic, talent, rights
- Transcripts and subtitles produced continuously
- Rights answered from a structured database
- Royalty data aggregated with audit trail
- POP reports ready per sponsor
- Single publish action lands everywhere it should
Systems we connect for media
The stack that runs a modern media operation.
Don't see your system? If it has an API, a CSV export, or an email inbox, we can probably work with it.
AI with guardrails
We use AI for messy information. We use deterministic automation for actual business execution. Every workflow is controlled, logged, and reviewable.
Human-Reviewed Tagging
Auto-tags go through a review queue before becoming canonical metadata on high-value assets.
Rights-Aware Publishing
Publishing actions check rights metadata and halt when a territory or use-case conflicts.
Canadian / Private Hosting
Pre-release and IP-sensitive content stays in private infrastructure with private model endpoints.
Audit Trail
Every metadata change, rights lookup, and publish action logged for royalty and legal review.
Why Choose Us
Built on expertise, trust, and proven results
We Automate Operations, Not Creative
We don't replace editors, writers, or producers. We make sure the content they make is tagged, rights-cleared, searchable, and monetized.
Rights-Aware By Default
Every automated workflow respects the rights metadata per asset — no accidental re-publishing or territory violations.
Private IP Hosting
Canadian-hosted options with private model endpoints for sensitive IP, pre-release content, and controlled archives.
Frequently Asked Questions
Will AI tag our archive badly and ruin our metadata?
Auto-tagging runs against your taxonomy, not a generic one. For high-value assets, tags land in a review queue before they become canonical metadata. For bulk archive material, tolerance is usually higher. You decide the review threshold per collection.
Does this integrate with our DAM?
Yes. We integrate with Bynder, Frame.io, Brightcove, cloud storage (R2, S3, GCS), and custom DAMs. Your DAM stays your system of record — we enrich and sync metadata rather than asking you to migrate.
Can you handle rights and licensing without getting something wrong?
Rights workflows are deterministic — we don't let LLMs interpret contracts autonomously. The model extracts proposed rights terms from contracts for legal review, and the structured rights database is what publishing and licensing workflows actually check against.
What about pre-release and sensitive IP?
We deploy on Canadian-hosted or private infrastructure with private model endpoints for pre-release, unreleased, or IP-sensitive content. Data doesn't flow to public AI APIs unless you explicitly authorize it.
Can we publish once and distribute everywhere?
Yes. One source of truth per asset publishes to YouTube, podcast host, CMS, and social with platform-specific formatting, thumbnails, and scheduling. Analytics from each platform come back into a consolidated view.
Turn The Archive Into A Working Business
Let's map the metadata, rights, or publishing workflow that's underusing your content and build an automation that unlocks it.