Choosing the right AI platform is not about capability.It is about fit.
We believe honest comparisons begin by respecting what already works. AWS SageMaker, Google Vertex AI, and Azure AI Studio each represent a decade of engineering by some of the best teams in the industry. For many firms, they are the correct answer.
OrbanAI is not the correct answer for every firm. It is the correct answer for a specific one — a firm that takes data sovereignty seriously and needs a production Agent across departments in weeks, not quarters.
This page explains, plainly, which platform fits which situation. We will show our hand — and we will show theirs.
Three established platforms
Each one excels at something we respect.
AWS SageMaker
The most complete ML toolkit on AWS.
Unmatched when your team has dedicated ML infrastructure engineers and you already live inside the AWS ecosystem.
Google Vertex AI
Google Cloud’s unified ML platform, closely integrated with Gemini.
Strong when your pipeline relies on BigQuery, AutoML, or Gemini models — and when Google infrastructure is a strategic commitment.
Azure AI Studio
Microsoft’s AI platform, closely coupled to OpenAI and the Microsoft 365 estate.
Fits enterprises already standardized on Microsoft for identity, productivity, and developer tooling.
When OrbanAI is the right choice
It is our conviction that the firm, not the platform, should be the sovereign. Every choice below is made in service of that conviction.
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GDPR-aligned · Taiwan 個人資料保護法 alignment · Data residency by deployment region · Never trained on firm data.