FAQ
Frequently asked questions
Short answers to the questions product teams ask us first.
What is Maestro?
Maestro is an orchestrator for software products. It gives each product its own AI analysts on TALOS MaiND, puts feature requests, bug reports and release news inside the product, and is built to take approved work to a reviewed pull request and a live release.
Do my users need to learn a new tool?
No. The product loop lives inside your own product's screens. Users ask, report and test where they already work. Only your owners and operators use the Maestro console.
Will AI change my code without anyone checking?
No. A development run works on its own branch and opens a pull request. It never pushes to a protected branch. Your reviewers and CI decide, and the merge is either done by a person or happens automatically only after the required human approvals. Each project chooses.
Which coding agents can run development?
Development runs use Claude Code through a GitHub Action in your repository, switched on per project. A TALOS MaiND development agent is available as a second runtime.
Which source control do you support?
GitHub, through a GitHub App installed on each repository.
Can I use only part of Maestro?
Yes. Every part has its own switch. You can use the agents alone, the development runs alone, or the full loop.
How is our data kept separate from other customers?
Every tenant-scoped table carries the tenant, and row-level security in the database enforces the separation. Your agents live in your own TALOS MaiND organisation, and your keys are encrypted under a key derived for your tenant alone.
Where do the agents get their knowledge?
From documents your team uploads, from chosen paths in your repository and from your release notes. When a source changes, a person approves publishing the new knowledge.
Which languages are supported?
The product-loop screens and the console are available in English and Greek. The AI analysts write specifications in English; other working languages on request.
Is Maestro available now?
Yes. Maestro is ready to deploy. Contact us and we will arrange a demo on your own product.
How much does it cost?
We do not publish a price. Maestro is for large-scale projects, and we promise to be paid at most 25% of the ROI we bring to your organisation. Contact us and we will agree how the return is measured.
Bring your product team into the loop
Maestro is ready to deploy on your product. Tell us about your product and your team, and we will show you how Maestro runs it.
Your product's AI team and delivery pipeline, with people at every gate.
Maestro is part of the TALOS MaiND family.