Join Maestro Studio AI Preview




Enter your name, email address and a brief message describing your use case below to join the Maestro Studio AI preview program.

If you would like to experience Maestro Studio AI before you get access to the program, use our Request a Demo form to book a demo with our team.

If you run into issues with this form, use our Support form or email us: support@stratuson.com


Start Using Conversational AI


Maestro Studio AI is a SaaS solution that generates Azure artifacts (ARM Templates+Bicep, UI Definition and View Definition files) from the natural language description of the desired solution in Azure.

Maestro Studio AI
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Frequently Asked Questions

Click on any question below to expand it and see the related answer.

HCL is excellent and very popular, and Terraform Infrastructure-as-Code (IaC) is a great choice for defining and managing the building blocks of your cloud infrastructure—arguably the gold standard when it comes to cross-platform IaC. But so is Bicep, which is in many ways inspired by HCL. In fact, if you've been working with Terraform, we highly recommend you give Bicep a try—we are confident you will love it.

For Azure, our preference is native IaC, i.e. ARM templates and Bicep files. The key reason for choosing ARM and Bicep over the other IaC variants is that ARM templates are idempotent, so they enable deployments to produce repeatable results. And since Bicep files are converted to ARM templates before being deployed, they too do benefit from this major differentiator from general, cross-platform IaC like HCL.

Our AI assistant provides as part of the solution/answer both an ARM template and a corresponding Bicep language payload to ensure any investments you've made in Bicep can still be leveraged.

One key friction point impacting the adoption of ARM templates has been the JSON-based syntax that many consider archaic (even though it is similar to AWS CloudFormation's syntax), especially when compared to HCL. Bicep solved many of those problems by providing a cleaner, more intuitive syntax. We are huge fans of Bicep.

Rather than re-invent another wheel, we address the root cause of the problem. At StratusOn, we started using generative AI internally to generate our own ARM templates. We used conversational AI and natural language to build the Quickstart Templates we offer in our Maestro Studio ENSEMBLE product. Our conversational AI journey has not been easy, but now that we've gotten the technology to a mature state—increasing the quality of its results and eliminating hallucination-type results—we are ready to share our work publicly. We are confident it will be as useful to others as it has been to us, and perhaps even more useful to many who are new to Azure and to Bicep or ARM templates.

Click here for an overview on Bicep. Also, check out the following page for an ARM template primer (great for those new to Azure), and it lists ample reasons highlighting why ARM templates are still superior and deserve to be supported: Why choose ARM templates?

Maestro Studio AI utilizes guardrails and validations that help ensure it will only provide valid, working ARM templates and Bicep files that are ready to deploy immediately.

We continue to work hard to fine-tune and improve the workflow for generating ARM templates and Bicep files from natural language queries. We have been using feedback we've received from private preview participants to improve the quality and accuracy of the results.

We've made it easy to provide us with quick feedback about problems encountered or suggestions you think can help improve the product.

Yes, the private preview support all publicly available Azure resources.

No, we are not limiting the size of the ARM templates or Bicep generated nor the number of resources.

The private preview is currently limited to a maximum of 20 natural language questions per day and a maximum of 200 questions per month. This helps us balance the utilization of the compute stamps among private preview participants. We will continue to review this limit and increase it as needed.

Use the feedback feature on the private preview website to request a quota increase of the number of questions per day, and we will move the corresponding account to a compute stamp that allows a higher number of questions (the upper ceiling is 100 during the private preview).

We are tentatively planning to move Maestro Studio AI to general availability (GA) by the end of January 2025.

All participants in the private preview will be moved to the free tier at that time.

Private preview participants have the ability to cancel their participation in the program at any point in time.

We are currently allocating a limited compute capacity to the private preview to make it easier for us to troubleshoot problems encountered by early participants before we open the floodgates.

We are assigning private preview participants into batches with each batch allocated resources on a separate compute stamp (essentially a cluster of compute resources and dependencies). When the stamps are all full, we place new subscribers on a waitlist until we have allocated new stamps.

Ultimately, we want everyone to be able to join the private preview. If you receive a confirmation message stating that you've been placed on a waitlist, please rest assured that we'll get you into the program as soon as we have resources provisioned. We appreciate your patience, but if you don't hear back from us after two weeks, then this is very likely due to a glitch on our side: please contact StratusOn Support and make sure to mention the email address you have signed up with.

Yes. The free tier will offer a limited number of questions per month and a basic SLA, and it will be adequate for most basic scenarios. A detailed comparison of the different tiers will be shared when Maestro Studio AI becomes generally available.

During the private preview, participants can ask their questions in one of several natural languages, including but not limited to: English, French, Spanish, Italian, German, Portuguese, Chinese, Japanese, Korean, Vietnamese, Russian, Persian, Arabic, Hebrew and Hindi. We currently provide inside the app a set of quickstart questions in the following languages: English, French, Spanish, Italian, Arabic, Hebrew and Hindi.

The website UI is currently only available in English, but we are working on adding more languages for the GA.

While Maestro Studio AI leverages a conversational AI assistant that can answer any Azure infrastructure questions and provide a valid, working deployment template as a key part of the solution, we are limiting the conversation with the AI agent to a single question in this iteration of the software.

We are currently working on and plan to roll out an interactive chat experience with the AI agent in the next iteration.

We certainly don't think so, which is why we've waited so long before making this product publicly available, albeit in a private preview program for the short term.

We built this initially as something we needed to build our own ARM templates and Bicep files. Just like any other AI product (or even non-AI software product), it continues to be tuned and improved—and it continues to get better, faster and more accurate. Over time, our internal project transformed into something beyond what we had originally envisioned, and we are very excited to share it publicly so that others can enjoy the same benefits.

But don't take our word for it—try it out for free and see for yourself.