tenantplaneBook a demo Make the deployment
easier to evaluate.
Practical guidance on private infrastructure, application integration, and the cost of running your model.
How to deploy an AI model inside your VPC
Define the inference boundary, one application path, dependencies, and the acceptance evidence.
Read guide Cost & scopeWhat does private AI deployment actually cost?
Worked scenarios with separate implementation, compute, operating labor, and readiness fees.
Read guide Operational readinessAn on-premises LLM deployment checklist
Settle the host, model, network, and operator requirements before scheduling an installation.
Read guideExamples with a specific context.
The scientific-model note and fictional assessment below are supporting resources. They are not evidence of delivered client work or a second primary service.
Private biotech inference: check the whole data path
A secondary research-model example: preprocessing, model acquisition, and external dependencies. Not a separate biotech delivery claim.
Read the example Illustrative assessmentWhat does a readiness assessment look like?
A fictional document-assistant example of a dependency map, ownership decisions, and go / no-go recommendation. Not a customer case study.
Read the example