Deployment & sovereignty
Run DATAshaper where your data is allowed to live.
On your own servers, inside your own cloud tenant, or as a managed SaaS. Combined with the LLM you choose, you decide where data is stored and processed.
Three ways to run it.
The same platform in each case. What changes is who runs the infrastructure, and where.
On-premises
DATAshaper runs on your own infrastructure, inside your own network.
- Your servers and network policies
- Data stays within your own environment
- Pairs with a locally hosted LLM
Your cloud tenant
Deployed inside your own Azure or other cloud tenant, under your subscriptions and controls.
- Your tenant and access policies
- Your cloud security controls apply
- Region and services chosen by you
Managed SaaS
We run DATAshaper for you, provisioned quickly through automated pipelines.
- Fast to start
- No infrastructure to manage
- Regular releases and technical support
Enterprise deployments can run multiple environments, such as development, test and production.
Sovereignty is more than hosting.
Choose the LLM
Process business data with the model you choose, including models you host yourself.
Data stays where you put it
Where data is stored and processed follows from the deployment and providers you pick.
People stay in control
Corrections are reviewed and staged. Nothing is written straight into your ERP.
Maintained by a dedicated team
Regular releases, support and maintenance from the team that builds the platform.
Questions about deployment.
Which deployment is right for us?
It depends on where your data may live and who should run the infrastructure. If data must stay in your own environment, choose on-premises or your own cloud tenant. If speed matters most, start with managed SaaS.
Does managed SaaS mean our data leaves our environment?
Yes: in the managed SaaS, DATAshaper hosts the platform for you. If that is not acceptable for your data, run DATAshaper on-premises or in your own cloud tenant.
Do you support Azure?
Yes. DATAshaper can run inside your own Azure tenant, and the managed SaaS is provisioned through Azure DevOps pipelines.
Ready to take control of your data?
Whether you're preparing for AI, improving data quality or planning an ERP transformation, start with a conversation.
Talk to an expert
Bring a specific challenge and discuss it with someone who has solved it before. Book a time or send a message.
Book a demo
See the platform in a guided session, usually with representative sample data. Book a time or send a message.