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AIsuru
on-premises

Install AIsuru in your infrastructure and keep Agents, models, data and integrations under your organization's control.

AIsuru in your infrastructure

With AIsuru On-Premises, the AI Agent orchestrator is installed in your organization's environment. You can use local models, keep data and enterprise knowledge in your infrastructure, and control users, roles and permissions.

Deployment can be on-premises, in a private cloud or hybrid. AIsuru continues to orchestrate Agents and integrations, while you decide which components and external services to enable.

Data control

Keep knowledge, documents and operational data within the boundaries defined by your organization.

Model choice

Use local and open-source LLMs, or enable only the cloud providers authorized by your policies.

Centralized governance

Manage Agents, users, roles, permissions and integrations from one AIsuru environment.

Isolated environments

Design controlled-network or air-gapped configurations when models, integrations and updates can remain local.

An architecture that fits your organization

AIsuru orchestrates both the components you already have and those selected for your new AI environment.

AIsuru

Creation, orchestration and governance of AI Agents.

Models

Local, open-source, fine-tuned LLMs or authorized providers.

MCP and integrations

AIsuru uses MCP, APIs and functions to connect Agents to authorized tools.

Enterprise systems

Data, applications and identities remain within agreed boundaries.

From design to operations

  1. Design: we define use cases, data, workloads and security requirements.
  2. Configuration: we prepare the architecture, models, integrations, roles and permissions.
  3. Production: we install and test AIsuru in the agreed environment.
  4. Operations: we agree on monitoring, support and updates.

For organizations that need to demonstrate control

The solution is designed for enterprises, public administrations, healthcare, financial services and critical sectors that require data residency, environment separation, access traceability and governance over AI providers.

On-Premises Questions

Every deployment starts from the organization's actual requirements. These answers clarify the initial scope.

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Which components can remain in our infrastructure?

The configuration can include the platform, models, knowledge and MCP servers within the customer environment. The final design depends on infrastructure, security requirements and authorized external services.

Can we use local LLMs?

Yes. AIsuru supports integration with local and open-source models, alongside cloud providers configured by the organization. The project can include prevalidated and optimized open-source models based on the hardware and use case.

How are MCP integrations managed?

MCP servers can be hosted in the customer's infrastructure or managed by an authorized provider. In AIsuru, you define which tools each Agent may use and with which permissions.

Can the system operate without Internet access?

Yes. AIsuru supports isolated-network architectures, including air-gapped configurations, when models, MCP servers, dependencies and update processes can remain local.

How long does deployment take?

It depends on infrastructure, integrations and security procedures. Before installation, we define timing, responsibilities, testing phases and acceptance criteria.