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AI Application
Development

Not just chatbots. Delivered across e-commerce, legal, manufacturing, brands and finance — 6 directions, each tied to a real business scenario.

6AI directions
5+Industries served
100%On-premise option
AI Application Development
01 / Background

Clients say "I want AI" — but which direction?

Many clients start with "I want AI". But AI has no one-size-fits-all answer — different industries and roles have completely different problems to solve. A support bot is just one direction. Our delivered AI work splits into 6 categories by who it serves:

02 / Core Features

Six directions, six kinds of clients

01

Smart Support Agent

E-commerce / retail / education. RAG over your knowledge base, answers 90% of FAQs, escalates with context, auto-creates tickets.

02

Enterprise Knowledge Q&A

Law firms / consultancies / hospitals / government. 5000+ docs auto-indexed, answers with citations and page numbers, on-premise deployment.

03

Process Automation

Manufacturing / logistics / trading. AI extracts order data, checks statements, classifies exceptions, generates reports. Integrates with existing ERP/TMS.

04

Marketing Content

Brands / media / MCN. Style-trained batch generation of product copy, social posts, short-video scripts; human review before publishing.

05

Data Intelligence

Finance / analytics / accounting. Ask in natural language — AI writes SQL, renders charts, generates conclusions with data-source labels.

06

Internal AI Assistant

Mid-to-large enterprises. One assistant for policies, processes, contacts — connected to WeChat Work / DingTalk / Feishu for all employees.

03 / Tech Details

One tech foundation, six directions

Model selectionScenario-based: DeepSeek for cost, Qwen for on-premise, multimodal for marketing, GPT-4o for critical paths. 60% cost reduction.
RAG retrievalChunking + embedding + hybrid search (vector + BM25), 92%+ recall, answers forced to cite sources to prevent hallucination.
Agent orchestrationMulti-step workflows: intent → tool calls → result validation → human fallback. Every step traceable.
On-premise deploymentFull stack on client intranet for sensitive industries — models, vector DB and docs stay local, zero external API dependency.
Security & compliancePermission isolation, audit logs, prompt-injection protection, PII masking.
ObservabilityEvery turn logs retrieval hits and model output — continuous tuning with real data.
04 / Client Success

Across industries: save people, save time, save money

-40%Support tickets
30sLegal doc search
-70%Manual workload
×5Content output
"I thought AI was just a support chatbot. Turns out order matching, reports and content can all be automated. The most repetitive work in our factory is now handled by it."
—— Client · Manufacturing IT lead

Which AI direction fits your business?

Tell us your industry and the problem you want to solve — we will tell you which direction can deliver, the ROI, and how to keep it on-premise.

Free consultation →