List of Razuna DAM Customers
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Since 2010, our global team of researchers has been studying Razuna DAM customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Razuna DAM for Digital Asset Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Razuna DAM for Digital Asset Management include: ThyssenKrupp, a Germany based Manufacturing organisation with 98120 employees and revenues of $38.50 billion, University of Texas Medical Branch, a United States based Education organisation with 15720 employees and revenues of $3.41 billion, Deepto Tv Bangladesh, a Bangladesh based Media organisation with 250 employees and revenues of $8.0 million and many others.
Contact us if you need a completed and verified list of companies using Razuna DAM, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Razuna DAM customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Deepto Tv Bangladesh | Media | 250 | $8M | Bangladesh | Razuna | Razuna DAM | Digital Asset Management | 2015 | Sysnova |
In 2015, Deepto Tv Bangladesh implemented Razuna DAM as the media asset management component of an open source broadcast stack, deploying a Digital Asset Management solution to manage program and ad clips for playout and archive within its broadcast operations. Razuna DAM was selected to serve as the media asset management and MAM layer of the broadcaster's automation architecture.
Razuna DAM was configured to handle asset ingestion, metadata cataloging, searchable indexing, proxy generation and archival lifecycle management, and to support automated transcoding and format normalization workflows typical for broadcast media management. Configuration centered on clip-level metadata and version control to support both live playout scheduling and long term archive retrieval.
Sysnova served as the systems integrator and documented Razuna as the chosen MAM for Deepto Tv Bangladesh's broadcast automation solution, integrating Razuna DAM with scheduler and playout systems to enable automated clip delivery and archive retrieval. The implementation targeted operational coverage of program and advertisement clip workflows across broadcast operations, aligning asset lifecycle management, scheduling orchestration and archive access under the Digital Asset Management platform.
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ThyssenKrupp | Manufacturing | 98120 | $38.5B | Germany | Razuna | Razuna DAM | Digital Asset Management | 2019 | n/a |
In 2019, ThyssenKrupp implemented Razuna DAM as its Digital Asset Management solution. The vendor listing identifies ThyssenKrupp as a Razuna customer, indicating the application is used for corporate and marketing media supporting global communications in Germany.
Implementation appears to center on a marketing and corporate digital asset library, leveraging standard Digital Asset Management capabilities such as centralized asset storage, metadata taxonomy, version control, permissions, and search to support marketing and communications workflows. The conclusion that ThyssenKrupp uses Razuna DAM for corporate and marketing media is inferred from vendor marketing materials rather than an explicit third party case study, and specific system integrations or deployment architecture were not specified. ThyssenKrupp Razuna DAM Digital Asset Management supports corporate marketing and global communications functions within the organization based on the available vendor listing.
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University of Texas Medical Branch | Education | 15720 | $3.4B | United States | Razuna | Razuna DAM | Digital Asset Management | 2016 | n/a |
In 2016 University of Texas Medical Branch implemented Razuna DAM as its institutional Digital Asset Management solution. The Razuna DAM serves as a centralized, searchable media library for approved imagery and collections supporting marketing, web content, and brand and photography operations across the United States.
UTMB's Razuna deployment explicitly uses Digital Asset Management and Media Asset Management DAM/MAM capabilities to manage high volume institutional images. The configuration emphasizes metadata-driven cataloging, collection curation, version control, and permissions-based access to ensure approved assets are discoverable and used consistently by marketing and web teams.
The implementation operates as an institutional media library tied to web content and marketing workflows across UTMB, with assets provisioned for brand and photography operations. The installation was migrated to a newer Razuna version with SSO in 2025 to introduce federated authentication and align asset access with enterprise identity controls.
Governance is documented in UTMB materials, centering on centralized approval processes, curated collections, and role-based publishing controls for campus-wide usage. The UTMB documentation records module usage of DAM and MAM and positions Razuna DAM as the authoritative source for approved imagery across the university.
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Buyer Intent: Companies Evaluating Razuna DAM
- Linshiyou, a China based Communications organization with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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