Launcher enterprise AI work scenarios
Launcher
Launcher
Entrance · AI task control centre
Entrance Layer · AI Entrance

Launcher — AI Entrance for enterprise task dispatch

Launcher gives business users one practical place to ask, create, analyse, and execute tasks with approved Agents and Skills. It is designed for real office workflows, not only demos.

  • Desktop and mobile access for office teams
  • Multi-agent switching for different work scenarios
  • Direct Skills calls from Central
  • Local-first handling for sensitive content
  • Policy routing across local, dedicated, and shared compute
  • Low learning curve for non-technical users
Central vertical AI applications marketplace
Central
Central
Marketplace · Vertical applications
Marketplace of Vertical Applications

Central — Turn AI know-how into reusable assets

Central organises approved Agents and Skills into a managed catalogue. Enterprises can publish, assign, monitor, bill, and improve AI capabilities across departments and tenants.

  • Vertical application marketplace and Skills Library
  • Publish, trial, deploy, and renew workflows
  • Tenant isolation and quota control
  • Usage statistics, audit trails, and billing
  • Industry solution packaging for finance, legal, education, and public sector
  • Partner, reseller, and solution-provider support
Xbase AI infrastructure layer
Xbase
Xbase
Infrastructure · AI base and compute control
AI Infrastructure

Xbase — Secure supply for every AI request

Xbase provides the model service and compute control layer that supports both Launcher and Central. It unifies heterogeneous hardware, scheduling, monitoring, quota, and billing.

  • GPU, CPU, and domestic chip resource management
  • Unified MaaS API for Launcher and Central
  • Intelligent inference scheduling and load balancing
  • Shared, dedicated, private cloud, and on-prem deployment
  • Multi-tenant monitoring, quota, and billing
  • Training, fine-tuning, and inference lifecycle support

Demand, capability, and compute reinforce each other

The loop starts with staff demand and improves through usage data, better Skills, stronger Agents, and smarter compute planning.

Step 1

Open Launcher Entrance

Users start AI tasks from desktop or mobile.

Step 2

Policy Routes Work

Requests go to local, dedicated, or shared execution.

Step 3

Central Assigns Capability

Approved Agents and Skills are discovered and invoked.

Step 4

Xbase Executes

Model services and compute resources complete the task.

Step 5

Operations Improve

Usage data informs Skills, Agents, cost, and capacity planning.

Want to see the product loop in action?

We can walk through the AI Entrance, vertical application marketplace, and infrastructure setup based on your sector and deployment constraints.

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