For technical teams
The platform your team runs and builds on.
Years of platform engineering, installed in your datacentre and run by your own people. Your team keeps the decisions and spends its time on the product.
Why production is the hard part
Today anyone can generate an app in a browser tab. Getting it to production, secured, observable, recoverable and on infrastructure you control, is still senior engineering work.
AI writes the code, but somebody still has to architect the system, run it and keep the data where it belongs. The platform covers that part and your team keeps the judgement.
What a production platform needs
Before a line of product code is written, all of this has to be in place, and kept in place.
Built in-house
- Compute, networking and the data boundary
- Databases, object storage and backups
- Credentials, sign-in and secure access
- Automated builds and governed releases
- Monitoring, alerting and on-call runbooks
- Patching, upgrades and security response
Each of these has to be chosen, built and secured, and then kept alive.
Run on ATAILA
On ATAILA it is already built. You install the platform on your own servers, your team runs it, and we deliver the software, the migration and third-line support.
Your team ships product in weeks, on a stack that is production-grade from the first day. The plumbing stops being a project.
What a lean team gets
None of this replaces engineers; it changes what they spend their time on.
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A platform group, without hiring one
The platform hands your existing team what a dedicated platform organisation would build for them.
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Time for the product
No more days lost to build pipelines, credentials, monitoring, backups and recovery drills. Your seniors spend their time on the thing only your team can build.
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More shipped without more hires
The next project no longer needs the next three hires. You scale what you ship without growing the platform team.
What is in the box
The six capabilities in the order a team meets them, and what each one takes off a lean team’s plate.
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01. Load models
Nobody spends a week standing up inference: open models go onto your GPUs in minutes.
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02. Model library
Several models kept side by side; the team picks which one runs where and swaps it when a better one appears.
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03. Metering and audit
When someone asks what AI costs and who used it, the answer is already logged, per user, model and endpoint.
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04. AI developer workstations
Nobody builds a development environment by hand: a workstation is created for each developer, inside your network.
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05. Auditable RAG
The team attaches its own documents to a model and can show afterwards what was retrieved for each answer.
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06. Project factory
A new project starts from a form, with repositories, pipelines and environments in place, and every release to production is recorded.
Everything stays yours.
Browser-tab app builders keep your data, your code and your access on their servers; you rent a prototype you do not control. With ATAILA Enterprise the whole stack runs single-tenant in your own datacentre.
- Your hardware
- Your own servers, in your datacentre or at your provider.
- Your models
- Open models, loaded and swapped when you decide.
- Your code
- Every app you create lives in your own repositories.
Tell us what your team is building.
We will show you which parts of the plumbing the platform already covers and what stays your team’s own work.