Azure AI Foundry

Foundry is where Microsoft brings together its AI development tools for businesses. A catalog lists models from OpenAI, Microsoft, Meta, Mistral, DeepSeek, and others, which you can test side by side and deploy through one set of APIs. Everything runs under Azure’s identity, networking, and compliance controls, which is what many regulated companies need before they can use generative AI. The service has gone through several names, including Azure AI Studio, so older tutorials may use different labels.

Beyond models, it provides the tools for building agents and applications. The Agent Service lets developers create agents that call tools, search company data, and follow instructions, and it connects with Microsoft 365 and other systems. Evaluation tools score quality and safety, content filters block harmful output, and tracing shows what an agent did and why. Developers can work in the portal or in code, using SDKs for Python, .NET, JavaScript, and Java.

Pricing follows usage: you pay for model tokens, compute, and the Azure services your app uses, and enterprise agreements are common. The platform is large, which makes it powerful but confusing at first. Teams already on Azure get the most value because identity, data, and security fit together. Amazon Bedrock and Google Vertex AI are the direct alternatives, and individual developers may find simpler options in OpenAI’s own platform.