Two kinds of organisation: one with a confidential workflow it wants AI to handle on hardware it controls, and a service provider that wants to offer that platform to its own customers.
Both run on your servers. ATAILA delivers the software, the migration and third-line support; you or your service provider run it.
Regulated and data-sensitive organisations
An owner, practice lead or IT manager at an SME or a corporate team in a regulated or data-sensitive field, with one expensive, recurring workflow they want AI to handle but cannot hand to a public AI.
Service providers
A hosting provider or an IT service provider that wants to offer private AI and app platforms to its own customers, from its own datacentre, under its own brand with “powered by ATAILA”.
If you are in one of these and hold data you would never paste into a public chatbot, read on.
Reading invoices, statements and contracts; drafting filings; answering clients from their own financial history.
Client financial records are confidential and regulated. They cannot go into a public AI.
Reviewing contracts, summarising case files, extracting clauses, writing first drafts of memos.
Privileged and confidential documents must never leave your control.
Structuring patient records, transcribing and summarising notes, drafting correspondence.
Patient data is strictly regulated; a public AI endpoint is out of the question.
Portals for test results and reports, data extraction from technical documents, guided workflows.
Test data and intellectual property are exactly what a competitor would want to see.
Processing claims and applications, summarising policies, answering from client history.
Client personal and financial data sit under strict rules, and so does the place where they are processed.
Citizen-facing services, document processing, internal knowledge assistants.
Citizen data must stay in-country and under your jurisdiction.
Any one of these is usually enough.
Illustrative examples of the shape of the work, with no specific customer behind any of them.
Illustrative scenario
The partners want an assistant that answers “what did we file for this client last year?” and drafts routine correspondence from the firm’s own records, without a single document leaving the office. The firm builds it as a private app on the platform, with a model running on its own server.
Illustrative scenario
A manual, spreadsheet-driven reporting process is slow and error-prone. The company replaces it with a proper application on the platform, with every step from development to production on record. An AI step extracts data from technical documents, on servers sized to the actual load.
Illustrative scenario
Associates spend hours summarising case files and pulling clauses from contracts. A private contract-review assistant does the first pass in minutes, on confidential documents that are never allowed to leave the practice’s control.
A certification body built its core inspection system this way. Read the customer story
If this is you, we are probably not the right call.
ATAILA is a platform for an organisation’s own servers, with an implementation and third-line support behind it. That is more than a self-serve builder, and priced accordingly.
We do not host the platform for customers. You run the platform on your own servers, or a service provider on the ATAILA Service Provider edition runs it for you.
We are earlier-stage than that. Built to the requirements of ISO/IEC 42001 and the EU AI Act. Ask us about the roadmap.
Tell us your field and the workflow. You get a clear yes or no on the fit, and if it is a yes, what the implementation would look like.