Layer 1
Local AI Infrastructure
Local model serving, hybrid routing, private storage, security control, runtime optimization, logs, and monitoring.
Product
Bring enterprise AI deployment to the desktop
Agent Server is desktop-scale local and hybrid AI infrastructure for enterprise agents.
It brings together local compute, model support, tools, data connectors, Agent Packages, and deployment controls so AI can operate closer to private data, business workflows, and real operating environments. ClariPpi makes deployable, governable, reusable enterprise AI infrastructure smaller, closer, and easier to adopt.
Desktop-scale deployment
Local / hybrid AI infrastructure
Model and tool support
Agent Packages
Private data connectivity
Deployment control
What is Agent Server
Beyond AI PCs and workstations, a deployable enterprise agent server
AI PCs and workstations bring AI compute closer to users. Agent Server goes further by turning local AI capability into an operating layer for enterprise workflows, with stronger focus on private data, system integration, continuous operation, concurrency, access control, audit logs, and human review.
Three-layer product architecture
The product structure
Agent Server combines local infrastructure, Agent Packages, and deployable AI Workers through a clear input, convergence, and output relationship.
Enterprise inputs
Private data
Files, records, SOPs.
Models and multimodal
Selected, adapted, routed.
Enterprise systems
APIs and review paths.
ClariPpi
Agent Server
The convergence point where local infrastructure, Agent Packages, and AI Workers become one deployable operating system.
Operational outputs
Human review
Review before sensitive steps.
Workflow action
Actions and approvals execute.
Business outcomes
Reusable operating value.
Layer 2
Agent Packages
Composable capabilities for RAG, tool use, model support, workflow planning, inference routing, evaluation, and human review.
Layer 3
AI Workers / Industry Deployment Packages
Combines Agent Packages into role-based, workflow-based, or industry-specific deployment packages.
Local AI Infrastructure
Local AI Infrastructure
This layer provides the runtime foundation for enterprise AI close to work.
Agent Packages
Agent Packages
Agent Packages are reusable software capabilities that turn local AI compute into usable enterprise agents.
AI Workers and industry deployment packages
From Agent Packages to AI Workers
Agent Packages become AI Workers when combined for a specific business role, workflow, or industry setting.
AI Worker examples
Role-based worker examples built for reusable enterprise execution.
Industry deployment package examples
Industry deployment packages for repeatable enterprise workflow scenarios.
How product becomes business value
How the product becomes business value
Agent Server provides the local foundation. Agent Packages provide reusable capabilities. AI Workers bring those capabilities into enterprise workflows. Solutions apply them across business functions. Case Studies show how they become real deployment stories.
Step 1
Agent Server
The local infrastructure base for enterprise AI.
Step 2
Agent Packages
Reusable capabilities for deployable agents.
Step 3
AI Workers
Role-based and workflow-based agent operations.
Step 4
Solutions
Enterprise value-chain and business-function applications.
Step 5
Case Studies
Deployment stories that show real operating change.
Product inquiry
Start with the right product form
We can help determine whether to start with Agent Server, Agent Packages, or a complete deployment package.