Private AI for companies
ChatGPT for your company. On your own servers.
Your teams get an AI assistant that knows your documents, respects your permissions and runs where your data already lives. Not in someone else's cloud.
- Your cloud or on-premise
- Sign-in with your company accounts
- Model of your choice
Source: Contract guideline, section 4
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The problem
Your people already use AI. Just not yours.
Shadow AI
Staff paste contracts and customer data into public chat tools, because there is nothing better at work.
Data leaves the house
With public tools nobody controls where prompts and files end up or who can read them.
No company knowledge
A generic chatbot does not know your products, processes or documents. So it guesses.
What your teams get
One assistant for the whole company.
1Ask
Answers from your own documents.
The assistant searches your guidelines, contracts and manuals and shows the source of every answer.
- Sources on every answer
- Says clearly when it does not know
- Works in many languages
2Control
Everyone sees only what they may.
Access follows your groups. Sales sees sales documents, HR sees HR documents, and admins decide who uses which assistant.
- Sign-in through your identity provider
- Permissions per group
- Every action logged
3Extend
From chat to agents.
Once the assistant runs, add agents that do work: summarise documents, draft answers or prepare reports.
- Agents per team
- Your tools connected
- Human approval where it matters
What we do
From first idea to a running private AI.
Use cases and plan
We pick the teams and documents to start with and agree on clear goals.
Setup in your infrastructure
A dedicated FlowHive.ai instance in your cloud tenant or on your own servers.
Sign-in and permissions
Connection to your identity provider, groups and rights from day one.
Model selection
A model from a large provider, a model hosted in your region or an open model on your own hardware.
Documents and systems
We connect drives, wikis and tools so the assistant answers from your knowledge.
Rollout and training
Your teams learn to use it well. Your admins learn to run it.
Compare
Public chat tool or private AI?
| Public chat tool | Private AI with JadenX | |
|---|---|---|
| Where the data is processed | Provider's cloud | Your cloud or your servers |
| Knows your documents | Only what someone uploads | Connected, with sources |
| Permissions per group | Limited | Follows your groups |
| Choice of model | The provider's | Yours, and you can switch |
| Agents for your processes | No | Yes |
What changes
AI that people use and the company controls.
- Teams use one approved assistant instead of private accounts.
- IT decides where data lives, which model runs and who has access.
- Management gets AI in daily work without losing control of company data.
See private AI with your own documents.
Book a 30-minute callSecurity
Your data stays in your infrastructure.
FlowHive.ai runs as a dedicated instance per company. Documents, prompts and answers stay in your environment. You see where the model runs.
- Dedicated instance, no shared tenant
- Sign-in through your identity provider
- Every action recorded and traceable
Getting started
Three steps to your own AI assistant.
- 1
Call
30 minutes on your teams, documents and infrastructure. Free of charge.
- 2
Pilot
One team, one set of documents, running in your environment.
- 3
Rollout
More teams, more sources and the first agents.
Frequently asked questions
What is private AI?
Private AI means an AI assistant that runs in your own cloud tenant or on your own servers. Documents, prompts and answers stay in your environment, and access follows your company accounts.
How is this different from ChatGPT Enterprise?
ChatGPT Enterprise runs in the provider's cloud with the provider's models. With FlowHive.ai you choose where it runs and which model it uses, and you can switch the model later without changing how people work.
Can it run fully on-premise?
Yes. FlowHive.ai can run on your own servers with an open model on your own hardware. We help size the hardware for your use case.
Which models can we use?
A model from a large provider, a model hosted in your region or an open model you run yourself. We decide this together per use case.
What does it cost?
It depends on the number of users, the infrastructure and the model. After a first call we propose a pilot with a fixed price.
How long until the first team uses it?
A pilot for one team usually takes weeks, not months. Connecting your sign-in and the first documents is the main work.
Let's talk about your private AI.
30 minutes on your teams, your data and your infrastructure. You leave with a clear idea of where to start.
Dr. Marcel Müller · Founder & COO, JadenX