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Guide

A private ChatGPT for companies

Somewhere in your company, someone is pasting client data into a public chatbot because it helps them work. A private ChatGPT gives your team the same kind of tool on hardware you control: open models, your documents, your accounts, your rules.

The shadow-AI trade

Every public prompt trades a little confidentiality for a little productivity. Banning the tool does not stop the trade; it hides it. A private ChatGPT keeps the productivity, because the same kind of tool now runs on your own infrastructure.

What your team gets

  • A chat workspace your team already knows

    A familiar chat interface running on open models loaded onto your own GPUs, behind your company login. Swap the model when you decide; the interface stays.

  • Your knowledge, privately

    Attach your contracts, manuals and policies through retrieval you configure and can audit. Answers come from your material, and only your people see them.

  • Real accounts and a record

    Every colleague gets an account, and every request is logged with who sent it and which model answered, instead of a shared password on a subscription paid with someone’s personal card.

  • An API for your tools

    The same models behind an endpoint your internal tools can call, so nothing is sent to a public provider.

Public subscription or your private AI

Where your prompts go
Public AI subscription: To a provider’s cloud, under its terms
Your private AI on ATAILA: To your own GPUs, and never beyond your platform
Who learns from your data
Public AI subscription: Depends on a policy that changes over time
Your private AI on ATAILA: No one: open models you loaded yourself send prompts nowhere
The bill
Public AI subscription: Per seat, per usage, or both; it grows as you grow
Your private AI on ATAILA: Priced per CPU socket, not per user or token.
Your documents
Public AI subscription: Uploaded into someone else’s service
Your private AI on ATAILA: Indexed on your own platform, with retrieval you can audit
Who answers when it breaks
Public AI subscription: A ticket queue
Your private AI on ATAILA: Your own team or your service provider, with ATAILA as third-line support

How pricing works

Questions buyers ask

Which models do we get?
Open models of your choice for chat, coding and embeddings, loaded onto your GPUs and kept side by side in a model library. Switching models never means switching providers.
How private is it, really?
Prompts, documents and embeddings stay on your platform, in your datacentre. Exactly three kinds of call leave it: the lease renewal, one signed monthly report you preview first, and an optional heartbeat.
Can it answer from our documents?
Yes. Auditable retrieval attaches your own files to offline and online models, so answers come from your material instead of guessing.
How fast can the team start?
The platform goes in over a short implementation of one to four weeks. Once it is in place, loading a model onto your GPUs takes minutes.

Related guides

Tell us how many people need access and what your data rules are.

You get a written answer on which models fit, what the workspace needs from your GPUs and how long the implementation takes.

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