Azure AI Studio vs. Stack AI

Stack AI is the pioneer in AI no-code building. Launched right after chatGPT came out, backed by Google and Y Combinator, our community boasts over 70,000 builders! We are pushing the boundaries of what is possible with Generative AI.

There’s an overwhelming buzz around AI and the many options available, including Azure AI Studio. We want to help you navigate these choices.

Stack AI vs. Azure AI Studio: why StackAI is the best alternative.

Stack AI is the right AI builder to grow your business

Stack AI is the market leader for a reason. We introduced the first AI no-code platform to the world, inspired by what other leaders were doing in other areas (Webflow and Wix with websites, Zapier with automations, Retool with dashboards).

StackAI stands out as the most comprehensive platform available, offering a wide array of database integrations and AI models.

Stack AI Workflow Builder

Azure AI Studio Assistants Builder

Is Stack AI a better alternative than Azure AI studio?

We let you decide. All we will say is that Stack AI has:

• The most user-friendly interface (almost no configuration required)
• 50+ integrations with knowledge bases and LLMs
• Best-in-class RAG (retrieval augmented generation) system

And we move extremely fast! Our customers are delighted by the speed at which we develop new integrations. The reason is because we also use Stack AI for our internal processes, and we think you will as well soon.

But, Azure AI Studio has the advantage of using native integrations with Microsoft, right?

We also have integrations with all Microsoft data source services (i.e., Sharepoint, OneDrive, Azure, etc.).

The good news is that Stack AI integrates with data sources outside of the Microsoft ecosystem so you can build without constraints (e.g., S3, GDrive, Confluence, Notion, Airtable, etc.).

Stack AI available integrations

And one more thing, our interface makes it so much easier to connect and handle folders, files, permissions, … once you try it, there is no way back.

Which platform has more AI models available?

Both platforms offer a variety of AI models. However, Stack AI has a broader range of AI models available.

Azure AI vs. Stack AI AI model variety

Moreover, we have developed our own model, a text-to-SQL model already used by our customers in production environments, and we are working on new models to be released soon.

Is Stack AI easy to learn?

Extremely easy. StackAI is the easiest-to-use alternative to Azure AI Studio. Our vision is to enable anyone to build AI applications, regardless of their technical background:

• No coding is required (although you can always add custom code)
• No complex configurations
• Minimum steps towards launching an end product
• Ready-to-use interfaces to share with colleagues
• Many more aspects that make using Stack AI extremely easy to learn (e.g., tutorials, webinars, guides, etc.).

Does StackAI Provide Support While I Build AI Agents?

Yes! StackAI offers extensive support to help users successfully develop and deploy AI agents. Our dedicated support team is available at every stage, ensuring your organization maximizes the value of its AI initiatives. StackAI is the ideal partner for building internal AI expertise within your company.

Support & Resources Available

• Expert Guidance from Solution Engineers – Book office hours with specialists for technical assistance and troubleshooting.
• Workshops & Onboarding – Participate in structured training sessions to accelerate adoption and streamline implementation.
• Quarterly Business Reviews – Evaluate the impact of your AI initiatives and refine your GenAI strategy over time.
• User-Driven Feature Development – Request new capabilities and influence product roadmaps based on real-world use cases.
• Continuous Platform Improvements – Benefit from frequent updates, including new AI models and expanded functionality, keeping StackAI aligned with evolving business needs. With hands-on support and a rapidly evolving platform, StackAI empowers enterprises to scale AI adoption with confidence.

What is Stack AI's secret sauce? The answer is RAG!

We understand that accuracy is crucial for building trustworthy AI systems. Without trust, users won't rely on these systems to help them with their business processes.

That’s why we've built our own RAG (retrieval augmented generation) system. Developed in-house by our AI/ML scientists, our RAG algorithms help LLMs get the right information to answer user questions.

We enhance system accuracy using advanced features such as query transformation, reranking, and multi-question handling.

Additionally, our metadata filters allow users to label documents and seamlessly integrate those labels into the retrieval process.

This is especially useful for users familiar with SharePoint, as it leverages essential metadata—such as document title, author, and modification date—to refine search results.

Stack AI stands out by the quality of the responses and our users can attest that:

"Stack AI has been an invaluable resource in piloting and collaborating around complex LLM projects. The support from the leadership team has also helped accelerate development."
— Michael Carvin, CEO, SmartAsset

"Stack AI's support was instrumental in launching our first AI use cases in the platform, marking a significant milestone in our journey towards embracing Generative AI."
— Vicente Zavarce, CEO, Yummy

"Stack AI is in a league of their own in terms of LLM workflow building capabilities and deployment options. StackAI has literally been a superpower for our team!"
— Matthew Kahn, President, Kahn Institutes

"Using StackAI has been a game-changer. Simple to use, effective results. Our team at Truewind is genuinely impressed. Highly recommended."
— Tennison Chan, CTO, Truewind

"Using Stack AI has transformed how we approach AI. Their easy-to-use tools and dedicated team have truly helped us meet our goals. We appreciate not just their tech, but also the personal touch they bring."
— Din Grinshtein, CTO, Empire Media