Start simply
Swiss Cloud
For teams that want to focus on their work.
- Location
- Swiss data centre
- Responsibility
- Operated by AIgent
Access opens in stages
Platform · On-Premise On-premise AI.
On-premise AI.
Your models, your infrastructure.
AI agents on your Kubernetes cluster. In an architecture discussion, we clarify your use case, data requirements and operating needs.
The possibilities of AI.
The control stays with you.
One shared place for your agents, models and company knowledge. Running where your data belongs.
Your AIgent workspace Flexible deployment
Your teamFamiliar access.
Clear permissions.
Clear permissions.
AIgent
Your agents.
One shared workspace.
ToolsPermissionsAudit-Trail
Your modelsMatched to your data
Your company knowledgeDocuments & data sources
Your systemsInternal tools & integrations
Swiss CloudIn Swiss data centres
On-PremiseIn your own infrastructure
Put knowledge to work.
Internal information becomes working context for your agents.
Control access deliberately.
You decide which tools and models are used.
Stay in the picture.
Follow your agents’ work through the audit trail.
One product.
Your deployment model.
As much in-house operation as needed. As much support as possible. Choose the environment that fits your company.
Predictable in-house operation. On-Premise has a fixed organisation licence. Implementation, infrastructure and model operation are priced separately. We agree the scope together.
From your requirements
to your everyday work.
An introduction starts with your use case. Together with your IT team, we establish a foundation for controlled operation.
Your infrastructure.
A path agreed together.
Understand your requirements.
Which data, which tasks, which boundaries? Together we define the right operating framework.
Data classes · Models · NetworkConnect your environment.
AIgent is installed via a Helm chart on your Kubernetes cluster. Your directory services are connected.
Kubernetes · Helm · Single sign-onEnable your agents deliberately.
You decide which models, tools and data sources your teams can use.
Permissions · Tools · ModelsKeep operations transparent.
Actions remain visible in the audit trail. We coordinate updates with your operations team.
Audit trail · Updates · Operations
Good to know.
Before we start.
Key questions about running AIgent in your environment.
- What are the hardware requirements?
- AIgent runs on a Kubernetes cluster. The exact resource needs depend on whether you run models locally and how many agents run in parallel. For connected models only, a moderate cluster size is enough; local model inference adds GPU nodes. We define the concrete sizing together in the requirements review.
- Which open-source models are supported?
- AIgent is model-independent and can run open models locally as well as connect international models. You choose per agent which model processes which data class. In air-gapped operation the local models run entirely in your environment, with no data leaving it.
- How do updates work in air-gapped operation?
- Updates are provided as versioned artifacts and applied into your isolated environment, without the cluster needing an internet connection. The system stays current while the isolation is preserved.
- How is on-premise licensed?
- AIgent On-Premise has a fixed organisation licence. Implementation, infrastructure and model operation are priced separately. We agree the licence scope and requirements for your environment together.
Does AIgent fit
your infrastructure?
Bring your use case. Together we clarify the architecture, data requirements and next steps.