Media asset management ·
one sentence finds the frame.
A media asset management (MAM) system manages metadata, versions, rights and production workflow for video on top of storage. Point Media Tech MAM tags faces, scenes, objects and speech transcripts with AI, supports timecode-level retrieval, rights compliance and multi-user collaboration, and links Smart Ingest, Video Inspector and Kaster Playout into one path from ingest to on-air.
↓ 80%Search time reduction
AIAuto-tagging engine
MXFProRes / IMF broadcast formats
24/7Multi-user collaboration
The search bar takes a sentence,
not a filename.
In Point Media Tech MAM, AI tagging has already written a transcript, face track and scene labels for every asset, so you can search for an interview where a phrase is spoken — and jump straight to the frame. Rights status is attached to the same record. The same scene labels also feed AdBridge, which turns them into IAB context signals that ad buyers can read.
From NAS plus spreadsheet hunts, to AI tagging + timecode search,
what changes is how you find things.
The difference between MAM and NAS: NAS stores files, while MAM also tracks where each file lives, who used it, its rights status and its transmission history. Without a MAM that information lives in librarian memory and hand-typed spreadsheets, and a single clip search can take half a day. Point Media Tech MAM moves the chain into one system: AI tags content, retrieval works to the timecode, rights and licensing sync automatically, and several people work without conflicts.
Scattered files, spreadsheet indexes, manual rights tracking
Assets scattered across multiple NAS / SAN tiers; metadata maintained in spreadsheets; rights tracked from memory; multi-user edits overwrite each other; finding a historical clip takes half a day; staff turnover means institutional memory walks out the door.
AI auto-tagging, timecode retrieval, rights sync
AI content recognition tags people, scenes, and objects automatically; timecode-level full-text search; rights and licensing sync bidirectionally with the playout schedule; multi-user version control without conflict; asset retrieval drops from hours to seconds; institutional memory accumulates inside the system.
Today · A NAS and a spreadsheet
- The NAS only stores
- Where a file sits depends on who remembers
- Rights and transmission history are typed into Excel
- Half a day to find one clip is normal
After · AI tagging with timecode-level search
- Content tagged automatically
- Search down to the timecode
- Rights and licences sync themselves
- Several people work at once without conflicts
Three capability layers, threaded into one
intelligent media library.
Point Media Tech MAM has three layers — AI tagging, workflow integration and multi-user collaboration — and each can be evaluated independently, licensed by user count and storage capacity, and scaled later.
AI auto-tagging and search
AI content recognition tags faces, scenes and objects, and indexes speech with AI speech-to-text and on-screen subtitle recognition; timecode-level full-text search; natural-language queries; auto-generated highlight clips; sub-second response.
- Face / scene / object recognition
- Timecode-level full-text search
- STT speech-to-text indexing
- Natural-language queries
Workflow integration & rights management
The workflow layer connects Smart Ingest, Video Inspector file-based QC, File Transcoder and Kaster Playout; rights and licensing sync automatically; watch-folder triggers; REST API and webhooks connect to existing pipelines.
- Ingest / Inspector / Playout integration
- Automatic rights & licensing sync
- Watch-folder triggers
- REST API + webhooks
Multi-user collaboration & broadcast formats
The collaboration layer provides multi-user version control; role-based permissions (production / library / sales); native support for broadcast formats (MXF / ProRes / IMF / OP1a); timecode-level annotations and review; mobile tagging and approval.
- Versioning / lock / branch
- RBAC + review workflow
- MXF / ProRes / IMF
- Mobile annotation & approval
The library is the workflow hub,
threading ingest, QC, transcoding, and playout.
MAM is more than storage: it is the central database for a broadcaster's library and institutional memory. Point Media Tech MAM shares one asset structure with Smart Ingest, Video Inspector and Kaster Playout, with no third-party integration layer between products.
- IngestAsset capture · auto metadata extraction
- MAMAI tagging · version control · rights sync
- InspectorBroadcast QC · anomaly alerts
- TranscodeConvert to delivery format · multi-target output
- PlayoutPush to schedule · auto on-air
Engineering specifications.
The complete Point Media Tech MAM spec sheet and a live evaluation are available through a technical consultation.
| Supported formats | MXF (OP1a / OP-Atom) · ProRes · DNxHD · IMF · MP4 · MOV · MPEG-2 · H.264 / H.265 |
|---|---|
| AI tagging | Face recognition · scene classification · object detection · subtitle OCR · STT speech-to-text · natural-language queries |
| Storage architecture | NAS / SAN / object storage (S3-compatible) · tiered storage (hot / warm / cold) · LTFS tape archive |
| Version control | Multi-user versioning · conflict detection · branch / merge · operational audit log |
| Integration protocols | Open REST API · bidirectional with Ingest / Inspector / Transcoder / Playout · webhooks · NRCS connector |
| Permission model | RBAC (Role-Based Access Control) · roles: production / library / sales / engineering / guest · field-level granularity |
| Licensing | Licensed by user count and storage capacity; modular expansion; software license + annual maintenance |
Three steps, from evaluation to go-live.
Request a trial
Submit the contact form. A sales representative will respond within one business day to schedule a technical consultation.
Integration assessment
Our technical consultants review your existing media-library architecture and plan the connection points to Ingest / Inspector / Transcoder / Playout.
Deployment and go-live
Complete configuration, run acceptance tests (AI tagging, version control, cross-system integration), and roll out in phases so existing operations are not disrupted.
Frequently asked questions.
How does media asset management (MAM) differ from NAS storage?
NAS only stores files, while a MAM adds AI tagging, full-text search, version control, rights management and production workflow integration on top of storage. Point Media Tech MAM runs over NAS, SAN or S3-compatible object storage and supports LTFS tape archive. Broadcasters using MAM typically cut search time by more than 80%.
Why do broadcasters need a MAM? Which production pain points does it solve?
A MAM solves four broadcast pain points: hard-to-search scattered assets, error-prone manual versioning, slow rights management, and slow handoff to playout. Point Media Tech MAM builds a searchable index with AI tagging, which makes multi-user collaboration and asset movement noticeably faster.
How does a MAM differ from a DAM or a general video management platform?
A MAM is built for broadcast video formats, timecode metadata, production workflow and rights, while a DAM focuses on marketing documents and images. MAM formats include MXF, ProRes and IMF. General video management platforms usually serve enterprise libraries or OTT back-ends and lack timecode-level retrieval and playout integration, so broadcasters, OTT platforms and post houses should choose a MAM.
How does MAM integrate with playout and ingest systems for end-to-end automation?
Point Media Tech MAM moves assets automatically through ingest, QC, transcoding and on-air using a REST API and webhooks. It connects to Smart Ingest, Video Inspector, File Transcoder and Kaster Playout, and these products share one asset structure, with no third-party integration layer between them.
How is MAM priced, and how should we budget for it?
Point Media Tech MAM is licensed by user seats and storage capacity, with modular pricing that starts from core features. AI tagging or multi-platform delivery can be added later. Budget for licence fees, storage hardware (NAS/SAN), system integration and annual maintenance, and contact our sales consultants for a detailed quote.
How long does MAM deployment take, and will it disrupt existing operations?
Point Media Tech MAM is rolled out in phases, with technical consultants planning the migration order so existing on-air operations are not affected. Timelines depend on asset volume and integration scope. The system runs on standard servers under Linux with suitable storage.
Ready to let your assets
find themselves?
Book a demo and try AI tagging and timecode-level retrieval with natural-language search.