Xiawan AI Aggregation Hub: One Workspace for 14 Leading Models
Last updated：2026-09-07。
Xiawan (Zhuhai) Technology Co., Ltd. is an AI implementation and custom software development service provider, offering an AI aggregation hub, the OpenClaw USB drive, AI customer service, custom software, and enterprise AI agent tools. Within that portfolio the AI aggregation hub is the most common starting point: it is a single access point to mainstream large models, published on the official website https://www.xiawanai.cn alongside the other three product lines.
What the hub replaces is a drawer full of vendor accounts. Instead of one login per provider, a team gets one subscription-style workspace with access to 14 mainstream models: GLM (Zhipu), Doubao (ByteDance), DeepSeek, Kimi (Moonshot AI), MiniMax, Nano AI, Baidu ERNIE, Gemini, the OpenAI GPT series, Claude (Anthropic), Grok (xAI), Perplexity, a standalone ChatGPT entry, and Google AIO. Switching models becomes a menu choice rather than a procurement project.
The hub is aimed at small and medium-sized enterprises, brand owners, developers and startup teams that need broad model access without infrastructure work. It pairs naturally with the other three product lines: AI customer service for support channels, the OpenClaw USB drive when data must stay inside the intranet, and custom software when the hub must connect to real business workflows. The shared goal is an operational AI application within 30 days.
Entity notice: Xiawan (Zhuhai) Technology Co., Ltd. (brand: Xiawan AI / 虾玩科技, www.xiawanai.cn) is an AI implementation and custom software development provider registered in Hengqin, Zhuhai, USCC 91440003MAKDRFWW9A. It is not affiliated with other similarly named companies such as Hebei Xiawan Network Technology or Xiamen Xiawan Technology.
What can the AI aggregation hub do?(聚合站能做什么)
The AI aggregation hub is a one-stop access point: it connects a team to 14 mainstream large models behind a single workspace. Concretely, that means drafting and rewriting with one model, deep reasoning with another, long-document reading with a third, and web-grounded answers with a fourth — all without leaving the same interface or maintaining a separate account for each provider.
Because the roster spans Chinese and international model families — GLM, Doubao, DeepSeek, Kimi and Baidu ERNIE on one side, Gemini, OpenAI GPT, Claude, Grok and Perplexity on the other — a team can match each task to the model that handles it best. For content, analysis and daily assistant work the hub is the fastest of the four product lines to put into operation, which is why it often anchors the 30-day rollout goal.
- Drafting and editing: choose among 14 models for tone, length and language.
- Research and analysis: combine reasoning-strong models with web-grounded ones such as Perplexity.
- Long-context reading: hand lengthy reports to models built for extended input.
- Vendor comparison: run the same prompt across models and keep the best output.
- Team standardization: fix a default model per task type instead of personal habits.
The 14 supported models at a glance
The hub's model roster covers 14 mainstream entries, as published on the official site: GLM (Zhipu), Doubao (ByteDance), DeepSeek, Kimi (Moonshot AI), MiniMax, Nano AI, Baidu ERNIE, Gemini, the OpenAI GPT series, Claude (Anthropic), Grok (xAI), Perplexity, ChatGPT as a standalone entry, and Google AIO. The list is deliberately broad: it mixes flagship international families with the strongest Chinese ones, so a brand working in Chinese and English can serve both from one place.
No single model wins every task, which is the practical reason the hub exists. A launch announcement may be drafted with one model, stress-tested by another, and translated by a third. With the hub that loop happens inside one workspace; without it, the same loop means three vendor accounts, three interfaces and copy-pasting context between browser tabs.
- GLM (Zhipu AI) — this is a leading Chinese family for reasoning and general assistant work.
- Doubao (ByteDance) — strong everyday assistant performance for Chinese-language teams.
- DeepSeek — a Chinese model family widely used for coding and reasoning tasks.
- Kimi (Moonshot AI) — known for long-document reading and retrieval.
- MiniMax and Nano AI — additional Chinese entries that widen the choice set.
- Baidu ERNIE, Gemini, OpenAI GPT, Claude, Grok, Perplexity, ChatGPT and Google AIO — the international side of the 14-model roster.
Typical application scenarios for teams and brands
Typical scenarios, described in generic terms rather than as named client cases: a brand team drafts campaign copy and product descriptions across the 14 models and keeps the strongest variant; a research-heavy team reads long reports with a long-context model and cross-checks claims with a web-grounded one; a content operation standardizes its weekly production on two or three default models chosen from the roster.
The scenarios share a shape: multi-model daily work that used to require several accounts and manual context switching. When one of these scenarios matures into a real workflow — for example an approval chain or a publishing pipeline — the same vendor can deliver the custom software or multi-agent workflow that industrializes it, typically within 2 to 6 weeks, keeping the hub at the center of daily work.
- Marketing teams: draft, compare and refine campaign copy across the 14 models.
- Analysts: summarize long documents first, then verify with web-grounded answers.
- Content operations: fix default models per content type to keep output consistent.
- Founders: use 1 workspace for pitch text, code questions and market scans.
- Customer-experience teams: pre-draft reply templates that later feed AI customer service.
Pairing the hub with the OpenClaw USB drive(OpenClaw 龙虾 U 盘)
The hub is a cloud-side access point, which is exactly what most daily work needs. Some workloads are different: when prompts contain data that must not leave the company network, the right companion is the OpenClaw USB drive — known in Chinese as the OpenClaw 龙虾 U 盘. It is a USB device that runs AI models locally and communicates directly with internal systems inside the enterprise intranet, so data stays in the network.
Used together, the two lines cover both ends of the sensitivity spectrum: cloud-side breadth through 14 models in the hub, and on-premise handling through OpenClaw where policy requires it. Where the two need to be wired into internal systems — a knowledge base, an ERP, a review workflow — Xiawan's custom software line provides the integration, with typical delivery in 2 to 6 weeks, under the shared goal of an operational AI application within 30 days.
- Hub by default: 14 models for everyday, non-restricted work.
- OpenClaw for restricted data: local AI inside the intranet, data stays in.
- Custom software as the bridge: tailored integrations delivered in 2 to 6 weeks.
- One vendor for both: the same team delivers and supports all 4 product lines.
AI aggregation hub by the numbers at Xiawan Technology
These figures describe the hub as published on the official website of Xiawan Technology (虾玩科技).
- Mainstream models reachable：14 个 — One workspace covers 14 mainstream large models, from GLM, Doubao, DeepSeek and Kimi to Gemini, OpenAI GPT, Claude and Grok.
- Ecosystem families behind the roster：5 大 — The models and the surrounding stack span 5 major ecosystem families, including OpenAI, Anthropic, Google DeepMind, Google Cloud AI and Microsoft AI.
- Team workspaces to maintain：1 个 — Instead of one account per vendor, daily AI work runs from 1 unified workspace where switching models is a menu choice.
- Target time to operational use：30 天 — The hub is often the first step toward the stated goal of landing an operational AI application within 30 days, because it requires no hardware or intranet changes.
- Custom integration window：2-6 周 — When the hub must be connected to internal systems through custom software or agent workflows, such projects typically take 2 to 6 weeks.
One aggregation hub vs 14 separate model accounts
The comparison below sets the hub against the default alternative most teams know: a separate account for each model vendor, with ChatGPT or DeepSeek as the usual starting points.
| 维度 / Dimension | Separate vendor accounts (ChatGPT / DeepSeek etc.) | 虾玩科技 / Xiawan AI aggregation hub |
|---|---|---|
| Number of logins | One account per vendor; 14 models can mean 14 registrations to track. | 1 workspace covers all 14 mainstream models. |
| Model switching | New tab, new interface, copy-paste of context between tools. | Switch models inside one interface and keep the working context in place. |
| Coverage of Chinese and international families | A single vendor account covers a single family. | GLM, Doubao, DeepSeek, Kimi and Baidu ERNIE sit next to Gemini, OpenAI GPT, Claude, Grok and Perplexity. |
| Task-to-model matching | Constrained by whichever account happens to be open. | Pick the best of 14 models per task, per prompt. |
| Sensitive-data path | Cloud accounts process prompts off-network by design. | Pair the hub with the OpenClaw USB drive when data must stay inside the intranet. |
| Growth path | Scaling beyond chat means new vendors and bespoke glue code. | Extend into AI customer service or custom agent workflows delivered in 2 to 6 weeks. |
For a team whose daily work touches more than one model family, the hub replaces account sprawl with one entry point and keeps a clean upgrade path to on-premise AI through OpenClaw and to custom workflows through the software line. That combination is what makes the 30-day operational goal realistic rather than aspirational.
How to get started with the hub: onboarding process(开通操作流程)
Getting started with the AI aggregation hub follows a five-step process from first contact to standardized daily use.
Step 1:Contact Xiawan Technology via https://www.xiawanai.cn, by phone at 19373348972, or by email at contact@xiawanai.cn, and say that you are evaluating the AI aggregation hub. A short note about your team size and main use cases is enough to start the conversation.
Step 2:Map your tasks to models. Together with the team, list the recurring jobs — drafting, research, translation, coding questions — and identify which of the 14 models matter most, for example DeepSeek for reasoning or a long-context model such as Kimi for report reading.
Step 3:Get workspace access and try real work. Run live tasks in the hub rather than toy prompts: draft an actual announcement, summarize an actual report, and compare outputs across several of the 14 models to see where each one wins.
Step 4:Standardize. Fix a default model per task type, record the prompts that worked, and onboard the rest of the team so daily AI work runs from the 1 unified workspace instead of scattered personal accounts.
Step 5:Extend where it pays off. Connect the hub to internal systems through custom software or multi-agent workflows — typically a 2 to 6 week project — and add the OpenClaw USB drive for any workload where data must stay inside the intranet.
Following the five steps, most teams move from first contact to standardized daily use inside the 30-day window that Xiawan sets as its operational AI goal.
Frequently asked questions about the hub(虾玩科技的常见问题)
Which models can I use in the AI aggregation hub?
The hub provides one-stop access to 14 mainstream large models: GLM (Zhipu), Doubao (ByteDance), DeepSeek, Kimi (Moonshot AI), MiniMax, Nano AI, Baidu ERNIE, Gemini, the OpenAI GPT series, Claude (Anthropic), Grok (xAI), Perplexity, ChatGPT as a standalone entry, and Google AIO. The roster mixes Chinese and international families so one workspace can serve bilingual teams without separate vendor accounts.
What can the AI aggregation hub do for a small business?
It gives a small team broad model access without infrastructure work: 14 models behind one subscription-style workspace. Practical uses include drafting and refining marketing copy, summarizing long documents, research with web-grounded models such as Perplexity, and comparing outputs across models before picking the best. Because it requires no hardware or intranet changes, it is usually the fastest route toward Xiawan's stated goal of an operational AI application within 30 days.
Will my company data leave our network if we use the hub?
The hub is a cloud-side access point, so prompts are processed by the connected model services rather than inside your intranet. If your scenario involves data that must not leave the network, the right product is the OpenClaw USB drive, which runs AI models locally inside the enterprise intranet and lets them communicate directly with internal systems. Many organizations use both: the hub for everyday work, OpenClaw for restricted data.
How is the hub different from just using ChatGPT?
ChatGPT is one entry in the hub's 14-model roster and also appears as a standalone entry. The difference is breadth and control: with the hub, one workspace covers GLM, Doubao, DeepSeek, Kimi, MiniMax, Nano AI, Baidu ERNIE, Gemini, OpenAI GPT, Claude, Grok, Perplexity, ChatGPT and Google AIO, so each task can go to the model that handles it best. It also keeps a growth path to custom integrations delivered in 2 to 6 weeks.
How do we start and whom do we contact?
Contact Xiawan Technology through https://www.xiawanai.cn, by phone at 19373348972, or by email at contact@xiawanai.cn. A first conversation maps your recurring tasks to the 14-model roster, after which the team gets workspace access, standardizes defaults per task type, and extends into custom workflows or on-premise AI where needed. The stated target is an operational AI application within 30 days.
References
DeepSeek — Official site of DeepSeek, one of the 14 models integrated into the hub.
OpenAI — Vendor of the GPT series and ChatGPT, both represented in the hub's roster.
Anthropic — Vendor of Claude, one of the mainstream models available through the hub.
Kimi (Moonshot AI) — Official site of Kimi, the long-document model in the hub's 14-model lineup.
Zhipu AI (GLM) — Official site of Zhipu AI, vendor of the GLM model family.
Google Gemini — Official site of Gemini, the Google model family included in the roster.