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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

List of Microsoft Azure Video Indexer Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Accenture Professional Services 791000 $64.9B Ireland Microsoft Microsoft Azure Video Indexer Analytics and BI 2025 n/a In 2025, Accenture implemented Microsoft Azure Video Indexer to build Video IQ, a system to analyze, tag, and index the companys large, fragmented video archive. Microsoft Azure Video Indexer is used in the Analytics and BI category to create enterprise searchable metadata and support media and digital asset management use cases. The deployment leverages Microsoft Azure Video Indexer capabilities for automated transcription, scene and object detection, entity extraction, and AI driven summarization to generate searchable metadata and short summaries. The solution was put into production and now processes hundreds of clips per week, ingesting video into centralized indexing pipelines and producing cataloged assets that are discoverable by business users. Operational coverage focuses on media and digital asset management workflows in the United States, where indexed metadata feeds search, reuse, and content summarization processes. Governance and rollout emphasized standardizing tagging taxonomies and centralizing processing pipelines with Video IQ as the core processing engine. The implementation is expected to reduce storage and operations costs and already supports ongoing content processing to enable faster reuse and AI driven search.
Axle Ai Media 27 $6M United States Microsoft Microsoft Azure Video Indexer Analytics and BI 2018 n/a In 2018, Axle Ai integrated Microsoft Azure Video Indexer to automatically tag video files and segments, embedding the application within its Analytics and BI workflows for media production. The Microsoft Azure Video Indexer implementation connected to axle Video asset ingestion and catalog processes to enable automated metadata extraction and segment-level indexing across its media libraries in the United States. The deployment concentrated on automated tagging, segment analysis, and rapid search capabilities to accelerate post-production and editorial workflows for broadcasters and content producers. Integration enabled metadata-driven curation and monetization use cases by making clip discovery faster and reducing manual labor, and governance changes emphasized consistent metadata standards and search-first curation across media and production teams.
Vidizmo Leisure and Hospitality 10 $1M United States Microsoft Microsoft Azure Video Indexer Analytics and BI 2019 n/a In 2019, Vidizmo integrated Microsoft Azure Video Indexer into its Virtual Academy video training platform to enhance corporate learning and training capabilities in the United States. The deployment positions Microsoft Azure Video Indexer within Vidizmo’s content delivery stack, leveraging Analytics and BI functionality to surface machine-generated metadata for enterprise video assets. The implementation uses Microsoft Azure Video Indexer to provide transcription, translation, and inside-video search, with indexing and transcription module usage inferred from partner documentation. Extracted insights are mapped into Vidizmo’s content metadata schema to improve discoverability and accessibility of training videos, and to enable search across audio and visual content for learning administrators and end learners. Integration scope is focused on the Virtual Academy training platform, impacting learning, training, and content operations teams responsible for video cataloguing and learner support. Operational governance shifted toward insight-driven workflows, using Video Indexer outputs to reduce manual tagging and captioning costs and to reassign human effort from transcription tasks to content quality and pedagogy activities.
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