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Enterprise AI

Unlocking Enterprise Knowledge Through AI-Powered Video Intelligence

Video Intelligence, Semantic Search, Azure OpenAI, Workforce Enablement
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A large-scale workforce transformation initiative by a Middle East family office built an enterprise training video library, but users had no scalable way to search within it. Cognativ designed and built an AI-powered video intelligence platform on Azure enabling natural language search with timestamp-level navigation across the library.

Situation

A large-scale workforce transformation initiative by a family office in the Middle East built a comprehensive enterprise training video library to support rapid organizational growth and employee enablement.

Challenge

Users had no scalable way to search within video content or locate specific topics, driving low discoverability, inefficient knowledge access, and reduced engagement with training materials.

Solution

Cognativ designed and built an AI-powered video intelligence platform on Azure Video Indexer, Azure AI Search, and Azure OpenAI, enabling natural language search across video libraries with timestamp-level navigation.

Capabilities Delivered

  • Automated Transcription & Indexing
    Azure Video Indexer pipelines that turn unstructured video into searchable, structured content
  • Semantic & Natural Language Search
    Azure AI Search and Azure OpenAI powering conversational queries across the full video library
  • Timestamp-Based Video Retrieval
    Instant navigation to the exact moment within a video that matches the user's query
  • Enterprise Authentication & Access
    Secure access integration that aligns with enterprise identity and governance requirements
  • Scalable AI-Ready Infrastructure
    Foundation designed for enterprise-wide deployment and future AI knowledge use cases

Impact

Transformed unstructured video content into searchable enterprise intelligence, significantly reducing time to locate training content, improving workforce engagement, and validating practical enterprise AI use cases with measurable operational value.
Natural Language
Semantic Video Search
Timestamp
Contextual Retrieval
Enterprise-Grade
Secure & Scalable
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