DATA / INFRASTRUCTURE
On-premise AI: decide where your data works
When a process needs to run on your infrastructure, deployment matters as much as the agent. We design the environment, integrations and permissions around an agreed boundary. Local models, private cloud and hybrid setups are options we assess against your information and operational requirements.
Choose the environment for the process.
- 01LocalClient infrastructure
- 02Private cloudDedicated environment
- 03HybridExplicit boundaries
What does on-premise or self-hosted AI mean?
On-premise means running the solution at the client’s facilities. Self-hosted is broader: you manage the environment, which may run on your servers or rented infrastructure. In either case, the location of models, integrations and logs also needs to be defined.
- Local processing when the model and its dependencies run inside the agreed boundary.
- External connections identified and enabled according to the agreed scope.
- Access, storage and retention defined for each type of information.
- Offline operation when the complete workflow is designed and validated for it.
Sovereignty: control over the full data journey
Residency describes where information is stored or processed. Sovereignty also involves who has access, which providers participate and which rules apply. We document that journey with your team to choose an architecture that fits the process.
- Privacy and operational requirements reviewed with your team.
- Residency defined for models, databases, logs and backups.
- Data use and provider terms agreed before services are connected.
- Role-based permissions and a trace of agent actions.
- External integrations and controls reviewed before production.
How do we take it into production?
We start with one process and one metric. We review systems, data and available capacity, integrate the agent with scoped permissions and validate its behavior with your team. Deployment includes an agreed scope for setup, monitoring and ongoing support.
- Deployment in the environment selected for the process.
- Integration with your tools and their access controls.
- Validation of the workflow, exceptions and human handoff.
- A support and maintenance plan agreed for the operation.
- A baseline metric to assess the result.
Local, private cloud or hybrid: choose by process
Different processes need different infrastructure. A local solution can keep processing within the chosen environment; private cloud can simplify operations; a hybrid setup combines components with explicit boundaries. We assess control, capacity, cost and integrations before deciding.
- Local: models and components deployed within the client’s boundary.
- Private cloud: a dedicated environment with defined region and responsibilities.
- Hybrid: distributed tasks with rules for which information may travel.
- Architecture selected for the process and verified before production.
Frequently asked questions
What is on-premise AI?
It is AI deployed at the client’s facilities. Keeping processing there also requires the model and workflow dependencies to run locally. We define those boundaries during design.
Can my data remain on my infrastructure?
Yes, with a local deployment designed for that requirement. We review models, integrations, logs and backups. If a process requires an external service, we agree on what data it receives and under which conditions before connecting it.
Which sectors benefit from it?
Any organization with control, confidentiality or residency requirements, including healthcare, legal services and finance. We define scope with the process and data owners; a local installation alone does not establish compliance.
How does it differ from private cloud?
On-premise runs at the client’s facilities. Private cloud provides a dedicated environment on other infrastructure. In both cases, we define data and model locations, responsibilities and permitted connections. Hybrid setups can combine these options.
Does Tomoki install and maintain the solution?
We design, integrate and take the agent into production with your team. We agree on infrastructure, support, updates and monitoring responsibilities for the chosen environment.