Private AI Infrastructure - Choose where your AI runs.
Run AI on your own hardware, private hosting or a combination of local and cloud services. We design, deploy and maintain the infrastructure, with clear access controls and visibility into where your information is processed.
Who it’s for - A setup matched to the workload.
We assess the task before recommending hardware, hosting or model choices.
For businesses with specific requirements around access, hardware, information processing or how a system is operated.
Review the requirements
Examine the workload, representative data, existing hardware and access needs.
Compare deployment options
Work through local, privately hosted and cloud components and their trade-offs.
Deploy a first workload
Install the agreed pilot and test its quality and resource needs.
Plan ongoing operation
Agree private access, updates, monitoring, backups and who looks after the system.
Example workflow - Speech recognition on a private network.
An example with a separate choice for each processing step.
Assess the task
Try representative audio against suitable hardware and a transcription model.
Run transcription privately
Deploy the selected speech service within the agreed private environment.
Choose any further processing
Decide separately whether drafting should use a local or cloud service.
Assess, pilot and agree operation.
Quality and hardware fit need to be tested on the work you actually do.
Define the requirements
Agree the workload, access, data boundaries and practical constraints.
Test a suitable setup
Review quality, language performance and resource use on representative tasks.
Prepare the handover
Document operation, ownership and the agreed support and update arrangements.
Know where information is processed.
We distinguish local processing, private hosting and processing by external providers. Access, retention and update arrangements are agreed for the chosen setup.
Make the operating costs clear.
Hardware, installation, external services and ongoing operation are quoted according to the assessed workload and chosen setup.
Plan for operation from the start.
Our project approach includes testing working versions, preparing a handover and agreeing what happens after launch.
See our delivery approachPlanning your infrastructure.
Can everything run locally?
That depends on the workload, model quality and hardware. We assess it before recommending an entirely local setup.
Can we use existing hardware?
We can assess it against the workload. Some tasks fit existing machines; others need a different deployment.
Who looks after updates and operation?
We agree ownership, handover and any ongoing support as part of the scope.
Products & services - Other ways we can help.
Some projects need more than one service. Start with the part that matters now and agree any further work as the picture becomes clearer.
Work out the right place to run it.
Tell us what you want to run, the hardware available and the requirements around your information.