MAM · MEDIA ASSET MANAGER
AI tagging · timecode search ·
your assets find you.
Point Media Tech MAM is a broadcast-grade asset manager. AI-assisted tagging, timecode-level retrieval, rights compliance, multi-user collaboration. Integrated with Smart Ingest, Kaster Playout, and Video Inspector — fully automated from ingest to on-air.
↓80%
Search time reduction
AI
Auto-tagging engine
MXF
ProRes / IMF broadcast formats
24/7
Multi-user collaboration
WHY NOW
From NAS plus spreadsheet hunts, to AI tagging + timecode search,
this is the engineering shift for the media library.
NAS is just storage. Where the file lives, who used it last, whether the rights are clean, when it last aired — all of that lives in librarian memory and hand-typed spreadsheets. A single clip search burns half a day. MAM moves that whole chain onto a server: AI tags content, timecode-level retrieval, rights and licensing sync automatically, multi-user collaboration without conflicts. Assets find themselves.
LEGACY · TRADITIONAL NAS
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.
MAM · POINT MEDIA TECH
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.
CAPABILITIES · THREE LAYERS
Three capability layers, threaded into one
intelligent media library.
AI tagging → workflow integration → multi-user collaboration. Each layer 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, objects, speech-to-text, and on-screen subtitles; 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
Connects Smart Ingest, Video Inspector QC, File Transcoder, and Kaster Playout; rights and licensing sync automatically; watch-folder triggers; REST API and webhooks plug into any pipeline.
- Ingest / Inspector / Playout integration
- Automatic rights & licensing sync
- Watch-folder triggers
- REST API + webhooks
Multi-user collaboration & broadcast formats
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
WORKFLOW
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 institutional memory.
FIGURE 01 · MAM-CENTERED WORKFLOW (INGEST → MAM → INSPECTOR → TRANSCODE → PLAYOUT)
SPECIFICATIONS
Engineering specifications.
A complete spec sheet and 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 |
HOW TO START
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.
READY?
Ready to let your assets
find themselves?
Book a demo and see how AI tagging reshapes the media library.
FAQ
Frequently asked questions.
How does a Media Asset Manager (MAM) differ from NAS storage?
NAS only stores files. A MAM adds AI-assisted tagging, full-text search, version control, access control, and production workflow integration on top of storage. Broadcasters using MAM typically cut search time by more than 80% and automate the path from ingest to playout.
Why do broadcasters need a MAM? Which production pain points does it solve?
MAM addresses common broadcast pain points: assets scattered across storage silos, error-prone manual version control, time-consuming rights management, and slow asset handoff to playout. Combined with AI-assisted tagging, multi-user collaboration and asset movement become significantly faster.
How does MAM integrate with playout and ingest systems for end-to-end automation?
Point Media Tech MAM exposes an open API that connects with Smart Ingest, Kaster Playout, File Transcoder, and similar systems to automate the full pipeline from ingest to QC, transcoding, and on-air delivery with minimal manual intervention.
How is MAM licensing priced?
MAM is licensed by user seats and storage capacity, with flexible scaling. Final pricing depends on organization size, asset volume, and feature requirements — contact our sales consultants for a detailed quote.
How long does MAM deployment take, and will it disrupt existing operations?
MAM runs on standard server environments with Linux and compatible storage. Timelines depend on asset volume and integration scope. Our technical consultants plan a phased rollout to ensure existing on-air operations are not affected.
How should we evaluate a MAM? What are the key selection criteria?
Key criteria include: AI search and tagging capability, format support (MXF, ProRes, MP4), integration with existing playout and ingest systems, storage scalability, and local technical support. Submit the contact form to schedule a free requirements assessment.
What does a MAM typically cost, and how should we budget for it?
MAM cost depends on storage capacity, user count, and functional modules. Typical budget items include license fees (by seats or capacity), storage hardware (NAS/SAN), system integration, and annual maintenance. Point Media Tech MAM offers modular pricing — start with core features and add AI tagging or multi-platform delivery later. Contact sales for a quote sized to your operation.
What is the difference between MAM and DAM? Which should broadcasters choose?
MAM (Media Asset Management) is designed for broadcast video — high-resolution formats (MXF, ProRes, IMF), timecode metadata, production workflow integration, and rights management. DAM (Digital Asset Management) focuses on marketing documents and images. Broadcasters, OTT platforms, and post-production houses should choose MAM for seamless integration with Smart Ingest, Video Inspector QC, and Kaster Playout.
How does a MAM differ from a general video management platform?
"Video management platform" is a generic term covering everything from internal enterprise video libraries to OTT streaming back-ends. A MAM is a video management platform built specifically for broadcast: it supports broadcast-grade formats (MXF, OP1a), timecode-level retrieval, a built-in production workflow engine, and direct integration with playout and QC systems. Point Media Tech MAM is designed for broadcasters and OTT platforms.