List of Automata DAM Customers
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Since 2010, our global team of researchers has been studying Automata 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 Automata 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 Automata DAM for Digital Asset Management include: Samsung Electronics South Korea, a South Korea based Manufacturing organisation with 262647 employees and revenues of $206.82 billion, China Mobile, a Hong Kong based Communications organisation with 455405 employees and revenues of $144.95 billion, Hong Kong Airlines, a Hong Kong based Transportation organisation with 2100 employees and revenues of $1.93 billion and many others.
Contact us if you need a completed and verified list of companies using Automata 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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China Mobile | Communications | 455405 | $144.9B | Hong Kong | Automata | Automata DAM | Digital Asset Management | 2019 | n/a |
In 2019 China Mobile implemented Automata DAM as part of its engagement with Automata on S2B2C AI commerce and customer experience initiatives in Greater China. The Automata DAM deployment functioned as a centralized Digital Asset Management platform to organize multimedia content for commerce and personalization use cases, emphasizing metadata management, taxonomy, version control, asset lifecycle orchestration, and content enrichment to support AI-driven content workflows. China Mobile Automata DAM Digital Asset Management was positioned to support content operations, marketing, and commerce teams by providing a reusable asset repository and searchability for partner and consumer channels.
Governance and operational controls were configured to standardize the content supply chain across Greater China, including role based access, approval workflows, and asset stewardship to align content publishing with commercial and customer experience processes. The implementation was designed to feed Automata’s AI commerce and personalization capabilities, enabling automated tagging and content selection for tailored experiences, and was aimed at driving revenue and personalized services rather than reporting specific outcome metrics.
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Hong Kong Airlines | Transportation | 2100 | $1.9B | Hong Kong | Automata | Automata DAM | Digital Asset Management | 2019 | n/a |
In 2019, Hong Kong Airlines implemented Automata DAM as part of a regional content and commerce initiative documented in Automata milestone notes. The deployment centered on Automata DAM within the Digital Asset Management category to centralize digital media used across customer touchpoints for bookings, hospitality services, and digital customer journeys.
The Automata DAM implementation focused on core Digital Asset Management capabilities, including large scale asset ingestion, metadata and taxonomy management, automated rendition generation, version control, rights tracking, and published asset provisioning. Configuration work emphasized searchable metadata schemas and content orchestration workflows to support marketing creative, promotional imagery, and service collateral used by reservations and customer experience teams.
Integrations were oriented toward front end booking and commerce channels, chatbot and marketplace interfaces, and work referenced on a Samsung Hong Kong Airline platform, with standard API based exchange and publishing endpoints assumed for headless delivery. Operational coverage targeted airline digital channels including the corporate web presence and mobile touchpoints, with asset delivery workflows designed to feed booking flows and hospitality content in near real time.
Governance established content lifecycle processes, metadata standards, role based access controls, and staged rollout practices to onboard marketing, commerce, and customer experience groups. The Automata DAM deployment was framed to support broader travel industry implementations noted by Automata, providing a centralized repository and controlled publishing pipeline for media used in bookings and customer engagement.
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Samsung Electronics South Korea | Manufacturing | 262647 | $206.8B | South Korea | Automata | Automata DAM | Digital Asset Management | 2022 | n/a |
In 2022, Samsung Electronics South Korea engaged Automata as a B2B partner for RCS messaging and related AI services across the APAC region, according to Automata's public partner listings. Automata lists Samsung Group among its enterprise partners, which situates the vendor within Samsung messaging and commerce initiatives focused on customer communication.
Within that partnership context, Automata DAM, the company's Digital Asset Management application, may have been deployed to support content and asset workflows for messaging, AI driven content delivery, and commerce orchestration. Typical Digital Asset Management capabilities aligned to this use case include a central asset repository, metadata and taxonomy management, asset versioning and lifecycle controls, and API based distribution to downstream messaging channels, all serving marketing and customer engagement business functions. Deployment scope is inferred to be program level integration with Samsung messaging and AI services across APAC, with governance expected to emphasize content workflow orchestration and access controls for cross functional teams.
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