The AI platform for your company

Secure AI agent chat for every employee. Custom apps for your processes. In the German cloud or 100% on-premise on your own hardware.

Book a live demo with your dataTechnical call for your IT team
  • Ready for GDPR-compliant use
  • Made in Germany
  • Model-agnostic

Definition

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.

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.

An agent that only answers has merely moved the work.

What comes back is a document too: 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.

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.

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
  • Mail
  • Calendar
  • Chat
  • File storage
  • Wiki
  • ERP
  • CRM
  • DMS
  • Database
  • Your API

Nothing may go to the cloud? Then everything runs at your site.

Ziya ONE on ZiyaOS, powered by local AI: everything on your own hardware, behind your firewall. Not a bit leaves your network, and it can run without any internet at all.

See local AI
Outside
  • Cloud AI
  • Licence server
  • Remote access
Your firewall
Your server roomRunning
  1. Ziya ONEand your apps
  2. runs on
    ZiyaOSConnectors, governance, runtime
  3. runs on
    Local AIOpen models, your hardware

Frequently asked questions

Our staff already use public AI chats. What is different about a secure AI chat for business?
Usually they use it privately, uncontrolled, and with company data in it. That is not a discipline problem, it is a tooling problem. Your people already know the interface; the difference is everything happening behind it: the data stays in the EU, it is not used to train models, roles and permissions work as in the rest of your IT, and every answer names its source.
What distinguishes Ziya ONE from a chatbot?
A chatbot answers questions from its training knowledge. Ziya ONE agents work with your data and inside your systems: they read documents, access ERP and CRM, and complete entire work steps, with roles, permissions and citations.
Where does our data run?
Your choice: in ISO 27001-certified EU data centers, on-premise in your own infrastructure, or fully air-gapped without internet connection. Your data is never used to train models, and a data processing agreement says so, not just a toggle in a profile. There is no seat minimum.
Who can see which documents?
Roles and permissions work as in the rest of your IT: sales sees sales documents, HR sees its own. Every answer names the source it came from.
Are we tied to a specific AI model?
No. Ziya ONE is model-agnostic: GPT, Claude, Gemini and open models are interchangeable, even retroactively. Which model handles a task is a setting, not a migration. You stay independent of individual vendors and can always use the best model for each use case.
How quickly is a first use case productive?
Typical first use cases such as an internal knowledge system or a report agent are productive within two to six weeks, because the platform already provides connectivity, permissions and operations.
What does Ziya ONE cost?
Costs depend on scope, deployment model and the number of use cases. In a free initial consultation the Ziya team clarifies your needs and gives you a concrete estimate.

See Ziya ONE with your own data

Ziya shows 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 with your data