Closing the last mile of AI adoption
We don't train large models — we operate, refine, and deliver compute: stable, secure, low-barrier AI capability, brought to every team and every county.
Under the hood: 70+ models from 10+ providers — OpenAI · Anthropic · DeepSeek · Qwen and more — one API, smart routing.
A historic window for AI compute
The Token economy boom, supportive national policy, and a county-level go-to-market window are converging.
Sources: China State Data Bureau and CIC Industry Research (public data, May 2026). Forecasts are forward-looking statements; actual outcomes may differ.
The last mile of AI adoption — three hurdles
AI keeps getting stronger, yet everyday users and small teams still struggle to actually use it. The difficulty concentrates in three layers — exactly the mountains Xinghan Cloud removes.
Too hard to use
High technical bar, no tuning know-how, scattered tools — ordinary users can't get started.
Out of the box, preloaded; the AI Business School walks you through it.
Too costly
Forced subscriptions — you pay monthly whether you use it or not, with uncertain ROI.
Pay per actual token usage, no subscription lock-in — idle costs nothing.
Too shallow
Cloud data risk, slow remote support — adoption lacks local backing.
Local deployment, data stays on-device; county-level local service for hands-on support.
Every AI call burns tokens
A token is the smallest semantic unit an LLM processes — and it is becoming the AI era's unit of account. Just as electricity is billed by the kilowatt-hour, using AI consumes tokens. Xinghan Cloud's Intelligent Compute Platform is the hub that meters and settles them.
The token is the AI era's settlement unit — whoever holds its entry and flow holds the value-delivery end.
Billed by actual token usage, no subscription lock-in — all cost on one ledger.
The Intelligent Compute Platform unifies aggregation, routing, metering, and settlement of tokens across sources.
One backbone, three pillars — application to compute
Backbone = Intelligent Compute Platform (token aggregation, routing, metering, settlement). Three pillars around the backbone — hardware entry points (StarClaw smart terminals), software refinement (AI Super Employee · free StarClaw agent to start), and customer education (AI Business School).
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.
Lite / Mini / Pro — three tiers as the AI compute consumption entry. Local + cloud hybrid execution.
From the free StarClaw agent to AI that covers the full acquire → convert → retain loop — desktop office, copywriting, and short-video agents working together, 50,000+ preset skills.
Three-tier curriculum — public courses, hands-on labs, and incubation. Certificates issued by Hangzhou AI Society.
Five layers of the AI industry — we stand at the application & delivery end
The AI industry is commonly split into five layers, top to bottom. We don't train foundation models or build chips — we stand firmly at the application and delivery end.
We aggregate, refine, distribute, and enable upstream models and compute — turning them into value users can use directly. Sourcing · Routing · Distribution.
Three customer values — from access to monetization
AI adoption stalls on three pain points — too hard to use, too costly, too shallow. Xinghan Cloud resolves them tier by tier across the StarClaw line — Lite (V2) · Mini (V1+V2) · Pro (V1+V2+V3).
Data Privacy
Cloud risk — leakage, misuse, compliance burden
Local execution, data stays on the device, private runtime
Plug & Play
AI tools require install, configuration, and a learning curve
Out of the box, plug and play, preloaded
Compute Monetization
ROI concern on high-end hardware (Pro workstation only)
Share idle compute into the network and receive Token revenue based on contribution (not a guaranteed return)
Three layers of competitive moats
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.
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.
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.
Compute Supply
Pro workstations physically distributed across counties form an edge AI compute network — a sustainable, scalable compute infrastructure on the supply side.
Ten enterprise-scale AI scenarios
From the internal AI assistant to domain model tuning — covering internal productivity, customer service, content, engineering, and industry verticals.
Infrastructure partners
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阿里云
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腾讯云
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华为云
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火山引擎
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百度云
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AWS
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七牛云
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金山云
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优刻得
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网心云
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火山引擎
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AWS
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OpenAI
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Claude
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Gemini
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xAI
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DeepSeek
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Qwen
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Moonshot AI
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Mistral
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Azure OpenAI
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Cohere
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Meta
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MiniMax
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进迭时空
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方直智胜
- MIIT 工信人才基地
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北京大学
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OpenAI
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Claude
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Gemini
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xAI
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DeepSeek
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Qwen
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Moonshot AI
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Mistral
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Azure OpenAI
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Cohere
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Meta
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进迭时空
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方直智胜
- MIIT 工信人才基地
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北京大学
Newsroom
Product updates, infrastructure milestones, partnerships, and company news.
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