About
AI Use Case Hub
AI Use Case Hub turns public enterprise AI deployments across Microsoft, AWS, Google Cloud, Oracle, IBM, Alibaba Cloud into market, sales, and strategy intelligence. It is built on Microsoft Azure AI Foundry from Zurich, and keeps the source evidence close enough to verify.
Tracking 3,890 source-linked enterprise AI deployments across 86 countries and 18 industries.
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Explore
What you'll find on the platform
Deployments
See which AI deployments lead by industry, business domain, and momentum.
Market intelligence
Track adoption across industries, technologies, countries, and cloud providers.
Custom Reports
Turn deployments into where-to-play guidance and save up to 10 branded reports.
LLM insights
Compare frontier models on cost, capability, and enterprise adoption.
Use Case Explorer
Ask in natural language and surface matching real-world deployments.
Methodology
How deployments are collected, normalized, classified, and scored.
Methodology
How the data is built
Collect
Autonomous agents continuously scan public customer stories, blogs, and announcements across Microsoft, AWS, Google Cloud, Oracle, IBM, Alibaba Cloud for documented deployments.
Normalize
Each documented deployment is normalized into comparable entities, technologies, maturity signals, and source-linked outcome claims.
Classify and score
Deployments are classified across industries, domains, technologies, and providers, then scored for evidence strength and innovativeness so readers can filter and compare them side by side.
This is an independent project focused on making real AI adoption easier to understand and act on. The frontend is built with GitHub Copilot support, and much of the data collection is handled by autonomous agents, so expect occasional imperfections while the dataset and methodology keep improving.
The site is not affiliated with any company or organization. It is maintained solely for educational and informational purposes. Read the full methodology.
Contact
Get in touch
Last updated: 13 June 2026