Business AI Computing Operation Service Provider

Position Toward becoming the infrastructure provider of the AI era

We don't train models
we source, route, and land compute

AI Computing Operation Service

Upstream — sourcing: partner with leading model and compute vendors to aggregate stable, reliable capacity. Midstream — routing: the Computing Power Router does multi-source aggregation, smart routing, unified metering, and real-time settlement. Downstream — landing: bring AI compute within reach in every county.

See the architecture API docs

AI Agent/ Model Routing/ Token Metering/ GPU Cloud/ Compute Sharing

Market

A historic window for AI compute

Three converging accelerants

The Token economy boom, supportive national policy, and a county-level go-to-market window are converging.

Inference Volume

140T /day

Daily Token Calls

as of May 2026

vs. Early 2024

1,400 ×

18-Month Growth

AI Compute Market

¥68B → ¥325B

Market Size 2026→2030

(Forecast)

Compound Growth

5 ×

5-Year Multiple

(Forecast)

Sources: China State Data Bureau and CIC Industry Research (public data, May 2026). Forecasts are forward-looking statements; actual outcomes may differ.

Architecture

One backbone, three pillars — application to compute

One backbone, three pillars

Backbone = Computing Power Router (token aggregation, routing, metering, settlement). Three pillars around the backbone — hardware entry points (StarClaw smart terminals), software refinement (AI Agent toolset), and customer education (AI Business School).

MAIN · Backbone Computing Power Router

Xinghan Cloud Computing Platform · Computing Power Router

Our self-developed core asset — the scheduling hub between upstream compute providers and downstream end users. We don't train foundation models; we focus on the four core token capabilities: aggregation, routing, metering, and settlement.

01 · Aggregation

Multi-source aggregation

02 · Smart Routing

Smart routing

03 · Unified Metering

Unified metering

04 · Real-time Settlement

Real-time settlement

Learn more

PILLAR 01 · Hardware Hardware

StarClaw smart terminals

Lite / Mini / Pro — three tiers as the AI compute consumption entry. Local + cloud hybrid execution.

Learn more

PILLAR 02 · Software Software

Three AI agents

StarClaw desktop + AI Answer Optimization copywriting agent + Short-Video agent — each focused on a real workflow, 50,000+ preset skills in total.

Learn more

PILLAR 03 · Education Education

AI Business School

Three-tier curriculum — public courses, hands-on labs, and incubation. Certificates issued by Hangzhou AI Society.

Learn more

Customer Value

Three customer values — from access to monetization

Across the StarClaw line

Mapped to the three StarClaw tiers — Lite (V2) · Mini (V1+V2) · Pro (V1+V2+V3).

V01 On-device

Data Privacy

PAIN POINT

Cloud risk — leakage, misuse, compliance burden

SOLUTION

Local execution, data stays on the device, private runtime

V02 Zero setup

Plug & Play

PAIN POINT

AI tools require install, configuration, and a learning curve

SOLUTION

Out of the box, plug and play, preloaded

V03 · Pro only Idle compute earns

Compute Monetization

PAIN POINT

ROI concern on high-end hardware (Pro workstation only)

SOLUTION

Share idle compute into the network and receive Token revenue based on contribution (not a guaranteed return)

Moats

Three layers of competitive moats

From terminal density to compute supply

Our business model is not just hardware or software sales — it's the operation, refinement, and last-mile delivery of compute, forming a complete intelligent service chain backed by three structural moats.

Layer 01 Million-scale rollout

Terminal Density

Planned deployment of one-million-scale StarClaw smart terminals across China. Becoming the primary Token consumption gateway in each county creates high switching costs.

Planned scale

1M+

Layer 02 2,800+ counties

Service Network

Localized service network across 2,800+ counties. On-the-ground technical guidance, rapid response, and fine-grained service to bring AI compute down to every region.

County coverage

2,800+

Layer 03 Edge AI Compute Network

Compute Supply

Pro workstations physically distributed across counties form an edge AI compute network — a sustainable, scalable compute infrastructure on the supply side.

Supply infra

Edge AI Network

AI Scenarios

Ten enterprise-scale AI scenarios

Across ten enterprise AI scenarios

From the internal AI assistant to domain model tuning — covering internal productivity, customer service, content, engineering, and industry verticals.

Enterprise AI Assistant

Internal Productivity

Customer Service

At Scale

Digital Worker

RPA + AI

Content Factory

Marketing

Knowledge Base

RAG

Smart Analytics

Contract Review