01 · On-premises
Compute build-out & private deployment
A complete, working system — validated on real tasks and delivered on your site.
XUNYE builds AI products and custom systems for businesses, studios and individuals. Since 2022, we have brought business knowledge, workflows and human judgment together — helping AI become part of everyday work. We also provide compute build-out and private deployment in your own environment, dedicated compute rental, and open-model API services — hardware, software, and ongoing operations as agreed.
Use our products as they are, or shape them around your workflows. Knowledge and experience from real work accumulate as the system is used.
AI workspace for content creation
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Connects topics, drafts, publishing prep, and retrospectives. Dedicated AI roles work with a creative knowledge base, preserving personal style and brand voice — so every piece builds on what came before.
AI operations for live commerce
Links product selection, live operations, ad delivery, order reconciliation, and post-show reviews — turning scattered information into working references a team can execute and reuse.
Team knowledge & AI operations
Brings strategy, projects, business records, and company knowledge together, so teams and AI share an understanding of where things stand and what comes next. Built for our own team; customizable for yours.
We combine products, technology, and professional services around your goals. Each service stands on its own, or runs through one project end to end.
XUNYE starts on the business floor: mapping workflows, information, and decisions to find the work AI should take on. We cover scenario planning, application build-out, launch validation, and team adoption — scope is set together with your goals.
Learn moreAround your existing processes we connect knowledge, data, and tools to build agents and workflows that own concrete tasks. From document handling to cross-system coordination, every step has named inputs, outputs, and owners.
Learn moreFor consumer goods, retail, and cross-border e-commerce, we organize content and operations around your target markets — bringing product data, channel requirements, and business feedback into one working process.
Learn moreStarting from the tasks your team already handles, we combine demos, hands-on work, and result reviews, so people understand when AI helps, what it needs, and where human judgment still matters.
Learn moreBased on your needs, choose one of three services: deploy a complete system in your own environment, rent dedicated compute, or call open models through an API.
01 · On-premises
A complete, working system — validated on real tasks and delivered on your site.
02 · Rental
A dedicated remote compute environment for the rental period — self-deployed, or set up by us.
03 · Open-model API
Call open models such as DeepSeek, GLM, Qwen, and Kimi — we maintain the servers.
Start from real tasks. Organize context, models, and tools — and treat verification, authorization, and maintenance as part of delivery.
Every piece of work starts from what the company already knows.
Company material lives in documents, spreadsheets, project records, and people's experience. We organize it around business tasks, so AI can find the right material and follow the rules and judgments inside it.
Learn morePlan toward a goal; keep moving through execution and feedback.
From retrieving context and calling tools to checking results, human confirmation, and saving what was learned — every step has a basis. When work pauses, it resumes from a saved state, not from scratch.
Model Orchestration
Task requirements→Role setup→Models & tools→Adopt & review
Assign models by task, balancing quality, cost, and conditions of use.
Learn moreReliability & Evaluation
Task sample→Run record→Locate the issue→Fix & re-verify
Check results against real tasks; turn known failures into future checks.
Learn moreSecurity & Governance
Access scope→Allowed actions→Checkpoints→Audit trail
Define data access, execution authority, and who confirms what — with records kept.
Learn moreIntegration & Deployment
Existing systems→Authorized links→Apps & models→Maintain
Connect existing tools and data; plan deployment, maintenance, and upgrades for your environment.
Learn moreTogether with industry material, business rules, and how your organization works, we design applications with clear inputs, outputs, and owners.
Organize working material; support professional work.
For planning and natural-resource approvals, government documentation and real-estate services, we organize regulations, documents and process requirements to support information retrieval, verification and coordination.
Planning & natural resources
Build end-to-end AI services and products around spatial agents, covering plan preparation, review, oversight and decision support. Establish trusted collaboration in which AI handles efficiency and people retain responsibility, helping natural-resource governance move from manual administration toward intelligent operations.
Government knowledge & documents
Bring together service requirements, policy guidance and working standards to support internal queries, frequently asked questions and document preparation, improving consistency and accuracy.
Support for real-estate and other operational tasks
Around each service's checklists and field requirements, design material handling, information comparison, and process reminders — key conclusions confirmed by business staff.
Implementation focus: define material sources, rule versions, access rights, and system connection conditions per project.
One product story, connected content and operations.
From product data to customer communication, design AI workflows around products, channels, and operating rhythm — so the team runs content and sales on the same information.
Product content
Organize specs, features, audiences, and frequently asked questions into material ready for product pages, content creation, and customer support.
Live commerce
Plan selection, show preparation, live execution, and wrap-up: plans, talking points, order records, and reviews in one place.
Marketing & business reviews
Collect content and operations feedback, check it against execution, and keep reusable phrasing and methods for the next round.
Implementation focus: name who maintains product data, how prices and promotions are confirmed, and how content review and platform actions are divided.
Make AI a working partner, from product selection to performance review.
Cross-border commerce involves more than translation: teams need to choose products, navigate platform requirements, produce content and keep operations moving. Drawing on our own e-commerce practice, we combine AI products, custom workflows and hands-on implementation support to connect market research, daily operations and business feedback.
Product selection & market research
Bring together market signals, competitor offers, customer reviews and search demand to assess customer needs, differentiation and pricing. Factor in sourcing, logistics and platform fees to develop product hypotheses and practical test plans.
Multilingual content & growth operations
Create and refine listings, image copy, video scripts and advertising assets around product strengths and target customers. Adapt material for each language and channel, coordinate publishing and creative tests, and use the results to guide the next iteration.
Customer support & performance reviews
Build multilingual support assistants around product information, order data and after-sales policies, with clear hand-offs for complex issues. Connect traffic, conversion, advertising, refunds and margin data to identify bottlenecks and turn findings into specific actions.
Hands-on AI adoption & team learning
Support tool selection, workflow setup, role-based practice and regular reviews. Market-focused workshops, group learning and project coaching can help teams turn useful methods into reusable templates and everyday processes.
Start with one market, product line or frequent task. Check delivery time, content quality and business outcomes before expanding. Business owners retain decisions on products, advertising and customer commitments.
Bring AI into production workflows, so standard processes lead to consistent action.
Manufacturing delays often emerge between orders, planning, the shop floor and management: information is passed manually, exceptions need chasing, and experience stays with individuals. We focus on frequent, repeatable work, connecting existing material and business systems to make checks, task assignments, exception handling and reviews traceable.
Orders, planning & supply coordination
Extract and check order requirements, bills of materials and delivery dates. Bring inventory, purchasing and production status together to surface shortages, changes and delivery risks, support schedule-adjustment proposals, and route follow-up work to responsible staff.
Work instructions & frontline support
Turn process documents, SOPs, drawing notes and past resolutions into a task-based assistant for each role. Help prepare checklists, shift handovers and training material, and flag affected steps when instructions or versions change.
Quality traceability & maintenance
Connect batch, inspection, defect and repair records to support investigation, root-cause analysis and corrective-action tracking. Provide reminders and troubleshooting references for inspections, servicing and breakdowns, preserving useful records after each resolution.
Operational analysis & workflow automation
Bring output, yield, downtime, delivery and cost data into reports that teams can query, with alerts for unusual results. Connect recurring reports, purchasing-document checks and approval routing to workflows, linking findings to owners and follow-up actions.
Pilot one workshop or process and assess handling time, error rates and exception resolution. ERP, MES and QMS integration can be scoped as needed. Visual inspection, predictive maintenance and scheduling optimization require separate assessment of site data, equipment and specialist requirements.
About XUNYE
Bring advanced intelligence into your real work, starting now.
Since generative AI took off in late 2022, the XUNYE team has studied how it changes work methods, business processes, and business models — and applied it across content, e-commerce, and our own operations. Our people come from front-line work in urban planning, content creation, domestic and international e-commerce, and product development, building products and custom deliveries around real business.
Learn about XUNYELearn about products, discuss a project, or explore a partnership — we would love to hear from you.