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On-Prem Deployment Support

Keep data inside your perimeter. Our experts help you deploy DataFuseAI in your own cloud or on-premise environment — handling networking, security, and data residency so you stay compliant without giving up control.

Challenges We Solve

Security or compliance rules that prevent sending data to a third-party SaaS.

Data residency requirements that demand processing within specific regions or your own infrastructure.

Complex networking, access, and security configuration for a self-hosted deployment.

A lean team without spare bandwidth to manage platform infrastructure.

What's Included

Deployment Planning

We assess your environment and design a deployment that meets security and residency needs.

Secure Installation

Set up DataFuseAI in your cloud or on-prem infrastructure with proper networking and access controls.

Compliance Alignment

Configure the platform to align with your data residency and governance requirements.

Handover & Support

Document the setup and support your team in operating it confidently.

Key Benefits

Keep data in your perimeter
Meet residency and compliance needs
Securely configured from the start
Full control of your deployment

FAQ

Frequently Asked Questions — On-Prem Deployment Support

Standing the platform up inside your own environment and confirming it works there: installation, network and access configuration, connecting it to your source systems, and validating that pipelines and scheduled jobs run as expected on your infrastructure.

No. On-premise runs locally with no external connectivity requirement, which is the reason most organizations choose it — the platform reads from your sources and writes to your destinations entirely inside your own perimeter.

No. The same product features are available across managed, private-hosted, and on-premise deployments. What changes is where the software runs and who operates the infrastructure beneath it, not which parts of the platform you can use.

Infrastructure that meets the platform's requirements, network access between it and the systems it will read, and credentials with appropriate permissions. Sizing depends on the workloads you intend to run, which is worth discussing before provisioning rather than after.

Not by itself. Compliance frameworks bind your organization rather than a piece of software. What on-premise deployment provides is control of the environment and the data path; the platform adds role-based access and audit logs of what ran and who changed it. The wider programme around those controls remains yours.

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Ready to transform your data workflows?

Need DataFuseAI inside your own infrastructure? Talk to an expert about a secure on-prem or private-cloud deployment.