Mediaflux DAMS is a powerful digital asset management solution designed for institutions managing complex, metadata-rich datasets. It provides an intuitive, fully customisable interface for storing, describing, and accessing digital assets at scale—ideal for research infrastructures, cultural archives, and other data-intensive environments.
Mediaflux DAMS is built on the robust Mediaflux platform, inheriting powerful capabilities designed for demanding data environments:
High-throughput data ingest and retrieval for efficient management of large, complex datasets
Flexible metadata schema supporting versioning, relationships, and controlled vocabularies
Automated workflow orchestration and lifecycle policy enforcement for streamlined data management
Multi-protocol support including S3, NFS, WebDAV, and HTTP/S for broad interoperability
Seamless integration across on-premise, cloud, and hybrid infrastructure
Granular access controls and audit logging to ensure data governance, compliance, and security
Storage-agnostic and virtualised - data can reside anywhere, with intelligent tiering and transparent access for end users.
These enterprise-grade features are delivered through a configurable, browser-based user interface, making advanced data management accessible and adaptable to institutional needs.
Metadata is at the core of Mediaflux DAMS—powering everything from discovery and automation to governance and curation. The system turns metadata into actionable intelligence, not just documentation.
Key capabilities include:
Schema flexibility - define custom fields, types, vocabularies, and validation rules
Rich relational metadata - link assets to people, events, instruments, research projects, and other assets
Advanced search - faceted filters, saved queries, and browse views across global namespaces
In-place editing and batch updates - manage metadata at scale, without moving data
Automated metadata capture - from file attributes, instruments, workflows, and AI enrichment
Sidecar metadata model - decouples metadata from files, enabling secure preview and discovery without exposing underlying content
Mediaflux DAMS integrates with AI to enhance its metadata capabilities, enabling automated enrichment directly within the system. This integration allows AI to generate descriptive metadata at scale, reducing the need for manual input.
The AI-driven enrichment could include:
Optical Character Recognition (OCR): Extracts text from images or video frames.
Speech-to-Text: Transcribes spoken audio into text.
Logo Detection: Detects and labels brand logos in visual content.
Natural Language Description: Generates captions for images or video.
Facial Detection: Detects faces and creates vector embeddings (no recognition or naming).
Audio Classification: Labels distinct sounds or events in audio recordings.
The enriched metadata is seamlessly incorporated into the DAMS, presented in structured, reviewable formats. Human-in-the-loop workflows allow users to validate, approve, or reject AI-generated metadata—ensuring accuracy, relevance, and oversight while accelerating content tagging and discovery.
The interface is delivered via Mediaflux Applications for Web (MAW):
Configurable ingest forms, metadata views, search components, and dashboards
Visibility and layout are governed by user roles and context
UI changes can be made without developer intervention or backend reconfiguration
Interface elements can be aligned with institutional vocabularies, branding, and workflows
Structured, persistent environments for managing assets over time.
Defined metadata schemas per workspace
Custom filters and search interfaces
Ingest pipelines with optional external contribution (via Content Courier)
Permissions and roles scoped to the workspace
Integration with workflows and audit history
Typical use cases include departmental repositories, digitisation programs, or long-term custodial projects.
Lightweight, user-driven collections for temporary or informal collaboration.
Created without administrator intervention
Assets are referenced, not duplicated
Shared internally or with external users (via access-controlled platform accounts)
Supports commenting, tagging, and chat
Lists can be:
Promoted to Workspaces
Archived or deleted
Exported as CSV or contact sheets
Used to trigger workflows
Shared via link
Built from pasted asset IDs or spreadsheets
Collection Sets are suited to planning, creative review, short-term collaboration, or cross-departmental asset grouping.
A web-based, non-destructive editing tool designed for fast content preparation and export. Users can:
Select segments from video or audio assets without altering originals
Compile cut lists for downstream publishing (e.g. social media, CMS, syndication)
Export approved edits to other platforms via API or download
Operate entirely in the browser; no need for external software
Edits are stored as metadata instructions or sidecar files, maintaining the integrity of the source material.
A secure, curated environment for internal or public users to preview and request access to assets. Key features:
Create project-specific selections of assets
Assign pricing or licensing terms where applicable
Enable request workflows for usage approval or payment
Track viewing history and user interactions
Optional integration with e-commerce or licensing backends
Viewing Rooms support project-based access and can operate as internal curation tools or as public-facing environments, depending on configuration.
Artistry, empathy, and innovation converge. Discover how Mediaflux empowers you to manage vast, complex digital assets with agility, precision, and enduring resilience.
Let’s start the conversation.