Ziya ONE, the All-in-One AI platform.
One platform, many AI agents: they work in your documents and inside your systems, keep to your roles and permissions - and hand back the finished file, not just an answer.
- GDPR-compliant
- Made in Germany
- Model-agnostic
- What an enterprise AI platform is
An enterprise AI platform gives everyone in a company shared, controlled access to artificial intelligence: a suitable model per task, access to the company's own documents and systems, plus roles and permissions as in the rest of the IT. It differs from a public AI service in that where it runs, how the data is used and who may access it belong to the company.
Ziya ONE is that platform: with a data processing agreement, no use of your content for training, model-agnostic, on-premise or entirely off the network on request, and built on ZiyaOS so vertical use cases sit straight on top of it.
Definition
Your work sits in documents
Quotes as PDFs, costings in Excel, contracts in Word, analyses in PowerPoint. Ziya ONE reads those files as they are - sheets, paragraphs, page numbers - and works with what is inside them rather than with a summary of it.
And what comes back is a document too
An agent that only answers has merely moved the work. Ziya ONE agents produce the file you would have built anyway: the comparison table as XLSX, the report as DOCX, the review deck as PPTX. Versioned, shareable with the team, downloaded in one click.
Independent of any single model
GPT, Claude, Gemini or open models in your own data center: Ziya ONE is model-agnostic. When a better model appears, you swap the model layer, not your application.
Workflows
Runs that start without being asked
An agent somebody asks is one half. The other is work that starts on its own: in the workflow editor you connect a trigger, AI steps, branches and actions in your systems into one path that runs the same way every time - with a human approval exactly where it belongs.
- Mail
- Calendar
- Chat
- File storage
- Wiki
Connected to the systems you already work in
Connected once, a connection serves every agent: the same data, the same roles, the same permissions.
Talk about connecting yours- ERP
- CRM
- DMS
- Database
- Your API
The question most people arrive with
ChatGPT for business: the difference from a company account
Almost every rollout begins with the discovery that staff have been using ChatGPT for a while already - privately, uncontrolled, and with company data in it. That is not a discipline problem, it is a tooling problem.
- Where the data goes
- With the public service, input leaves the EU. Ziya ONE runs in the EU, in your own data centre if you want, or entirely off the network - with no seat minimum.
- Whether it trains on you
- Your content is not used to train models, and there is a data processing agreement saying so - not just a toggle in a profile.
- Who may see what
- Roles and permissions as in the rest of your IT. Sales sees sales documents, HR sees its own, and every answer names the source it came from.
- Which model answers
- Model-agnostic rather than tied to one vendor: which model handles a task is a setting, not a migration.
So the difference is not the interface - your people already know that part. It is everything happening behind it.
Frequently asked questions
What distinguishes Ziya ONE from a chatbot like ChatGPT?
Where does our data run?
Are we tied to a specific AI model?
How quickly is a first use case productive?
What does Ziya ONE cost?
See Ziya ONE with your own data
We show Ziya ONE live on your own use cases - from the question in the chat to the finished file. Half an hour, free and without obligation.
Book a live demo