What AI projects do you deliver and what tech stack?

Three interconnected services: 1) Agent Deployment — LangGraph/LangChain multi-Agent orchestration + Qwen3/DeepSeek V3/GLM-5 base models + Milvus/pgvector vector DB; 2) Custom ERP — Vue 3 + Spring Cloud Alibaba + ClickHouse/MySQL + Feishu/DingTalk SSO; 3) On-premise LLM — Qwen3-8B/14B/32B/235B-A22B + QLoRA/LoRA/DPO fine-tuning + vLLM/TGI inference + AWQ/GPTQ quantization + on-premise or dedicated cloud. Every project involves real business system integration, private deployment, and effect tuning.

How is an Agent deployment project delivered?

Reference: a manufacturing equipment knowledge base Agent case, standard 4 phases. 1) Scenario diagnosis: business experts + tech architects on-site, output diagnosis report + Agent plan. 2) POC validation: real manuals, validate 5-10 key scenarios. 3) System integration: connect to customer ERP/OA/database, complete the tool calling chain. 4) Launch & run: 1-month optimization + 3-month effect tracking. Deliverables include source code, deployment scripts, ops manual, user training videos, 3-month SLA.

What is the architecture of a Quant trading AI system?

Reference: a Yangtze Delta quant fund case, 4-layer architecture. Data layer: akshare/tushare real-time market feeds + ClickHouse time-series storage. Knowledge layer: Qwen3-14B on-prem + BGE-M3 Embedding + Milvus vector DB + research/financials RAG. Agent layer: LangGraph orchestrates 4 cooperating Agents (strategy generation / market analysis / portfolio monitoring / risk alerting). Access layer: DingTalk/Feishu/email alerts + optional broker PB. Results: 5× strategy iteration, 85% anomaly coverage, 24/7 real-time monitoring.

How does cross-border e-commerce AI manage Amazon / Shopify / eBay?

Reference: Amazon + Shopify dual-platform case, 4 coordination mechanisms. Unified data mid-platform: orders / inventory / reviews sync to ClickHouse in real time. Unified AI generation: multilingual listings generated once and pushed to all platforms. Price coordination: cross-platform price comparison and auto-adjustment. Unified inventory: FBA + self-fulfillment single view, no over-sell. Tech stack: Amazon SP-API + Shopify Admin API + DeepL + Prophet + Webhook alerts. Results: 10× ops efficiency, 50% labor savings, +35% ad ROI.

How does K12 / vocational AI ensure data security?

Education data on minors is highly regulated. Reference: a Zhejiang education group case with 12,000 students. Qwen3-8B on-premise deployment in school, student data never leaves the school. PIPL compliance: critical data reported to local education bureau. Electron offline client + PWA works without network. Parent WeChat mini-program sees only their own child's report. Results: student scores +40%, teacher grading -70% time, zero data breaches.

On-premise LLM vs SaaS API: how to choose?

3-step decision. 1) Can data leave the perimeter? (Finance / medical / education / cross-border: NO, must be on-prem; personal / SME: YES, SaaS OK). 2) Need deep customization? (Connect to internal ERP/OA/DB: on-prem; pure Q&A: SaaS). 3) Concurrency? (>10k req/day: on-prem; <1000 req/day: SaaS). We recommend: SaaS for early validation + on-prem as the long-term workhorse. Use Qwen / DeepSeek API for a 2-4 week POC, validate business value, then migrate smoothly to Qwen3/DeepSeek V3/GLM-5 self-built models, with data feedback and model distillation services.

XinChuang AI - Enterprise AI Agent Deployment & On-premise LLM Training

Services

Three Pillars of AI Implementation

From strategic consulting to engineering delivery and core model training — one team for your full AI transformation

Core Service AI Agent Deployment

Agent Deployment Consulting

Multi-Agent Orchestration & RAG Implementation

Starting from business scenario diagnosis, we design and ship multi-Agent solutions that integrate with your knowledge base, ERP, OA, and email — turning AI into a productivity tool your team actually uses, not a slideware demo.

01

Diagnosis

02

Design

03

Build

04

Run

Multi-Agent orchestration framework
RAG knowledge base setup
ERP / OA / CRM integration
Continuous tuning & iteration

Get Agent Deployment Plan

Derived

Custom Software · Enterprise ERP

Enterprise systems often required for Agent projects — also available as standalone ERP customization and tooling.

Enterprise ERP custom dev
Open-source ERP & secondary dev

Derived

On-premise LLM · Private Deployment

When Agents need proprietary models or strict data compliance — LoRA fine-tuning and private delivery.

LoRA / full-parameter fine-tuning
Private deployment & inference accel

Why Us

Six Strengths That Make
AI Implementation Work

More than a vendor — a long-term partner that ships

100%

Data Security & Compliance

Full on-premise deployment, data never leaves your domain. Compliant with finance, government, and healthcare regulations.

100+

Engineering Rigor

From architecture to operations, every step has standards, docs, and automation in place.

4in1

Full-stack Team

Algorithm, frontend, backend, DevOps, and product — one team, zero handoffs.

365d

Long-term Partnership

We don't disappear after delivery. Continuous optimization, model iteration, and tuning included.

ROI

Quantifiable Results

Clear goals, tracked metrics, and visible ROI on every AI investment.

30min

24/7 Response

Online ticketing + dedicated account manager. Critical issues responded within 30 minutes.

Industry Solutions

One AI Methodology,
Tailored to Every Industry

Deep expertise across finance, cross-border e-commerce, manufacturing, and education — built for each industry's unique needs

Finance

Quant Funds · Securities · Banking

Quant Trading Agent: Multi-strategy parallel backtest, factor mining, portfolio optimization
Smart Market Analysis: Real-time news sentiment, research summaries, industry chain linkage
Portfolio Monitoring & Alerts: Intraday risk control, abnormal trade detection, compliance checks
Investment Advisor / Customer Service: RAG + Agent handles 24/7 routine inquiries
On-premise LLMs: Strategies & research never leave the network, full financial compliance

Get finance solution

Cross-border E-commerce

Amazon · Shopify · Multi-platform

Automated Operations: Multi-lingual listing, batch repricing, restock alerts
Smart Analytics: Sales forecasting, ad ROI, competitor monitoring
24/7 AI Customer Service: Multilingual auto-reply + sentiment detection
Slash Headcount Costs: One team runs 10 stores efficiently

Get e-commerce solution

Manufacturing

Production · Equipment · Supply Chain

Industrial Knowledge Agent: Equipment manuals and maintenance logs smart search
Custom ERP: Production scheduling, inventory, and finance integrated
Predictive Maintenance: Failure alerts powered by historical data

Get manufacturing solution

Education

K-12 · Higher Ed · Vocational

Teaching Assistant: Personalized tutoring and homework grading
Knowledge Graph: Subject structure + student error analysis
School Management: AI-enhanced academic and learning analytics

Get education solution

Case Studies

They Are Already Walking the AI Path

From finance to cross-border e-commerce, manufacturing to education — 70+ projects delivered

Quant Finance Manufacturing Cross-border K12 / Vocational

Finance · Quant Trading

Quant Hedge Fund AI Trading Analysis System

Deployed a multi-Agent AI trading analysis system for a quant hedge fund team — covering quant strategy generation and backtesting, real-time market analysis, portfolio monitoring, and anomaly risk alerts — freeing analysts to focus on decisions rather than repetitive work.

Client: Yangtze Delta quant fund: 5 researchers + 2 engineers, runs 3 strategies (CTA / equity long-short / arbitrage) on self-built trading infrastructure
Pain point: Slow strategy iteration, manual market analysis, hard real-time risk capture
Tech stack: LangGraph multi-Agent orchestration + akshare/tushare real-time market feeds + Qwen3-14B on-prem + BGE-M3 Embedding + Milvus vector DB + FastAPI async queue
Deployment: On-premise GPU cluster, strategies & research never leave the network

5×Strategy iteration

85%Anomaly alerts

24/7Real-time monitor

Manufacturing · Industrial Knowledge Base

Equipment Maintenance Knowledge Base Agent

Deployed an equipment knowledge base AI Agent for a listed auto parts manufacturer — structured 1000+ manuals, maintenance records, and parameter drawings for instant engineer queries.

Client: Listed auto-parts maker, Suzhou + Hefei plants, 150 frontline equipment engineers
Pain point: Senior expertise hard to transfer, slow fault diagnosis, costly downtime
Tech stack: Qwen3-8B on-prem + LangChain RAG + PaddleOCR blueprint recognition + BGE-M3 Embedding + Qwen3-VL multimodal understanding + factory intranet PWA offline access
Deployment: On-premise + multi-terminal (PC / Pad / workshop displays)

5×Query speed

60%Faster diagnosis

1000+Docs digitized

Cross-border E-commerce AI Operations Center: Amazon / Shopify / eBay multi-platform listing auto-generation, batch repricing, ad ROI analytics

Cross-border E-commerce · AI Operations Agent

Multi-Platform Smart Operations for E-commerce

Deployed an AI Operations Agent for an Amazon + Shopify seller — automated multi-lingual listing generation, batch repricing, restock alerts, and ad optimization, halving headcount.

Client: 3C category seller, Shenzhen + Yiwu ops teams, 300+ SKUs, ¥800K monthly ad budget
Pain point: Slow multi-lingual listing, tedious cross-platform pricing, hard ad ROI control
Tech stack: LangChain + Amazon SP-API / Shopify Admin API + DeepL translation + Prophet sales forecast + DingTalk/Feishu alert Webhook
Deployment: Multi-tenant SaaS with per-tenant data isolation + Alibaba Cloud RDS

10×Ops efficiency

50%Headcount saved

35%Ad ROI up

K12 and Vocational Education AI Personalized Learning Platform: student tablet with learning path, knowledge graph, AI homework tutor, teacher analytics

Education · K12 · Vocational

K12 & Vocational AI Personalized Learning System

Deployed an AI personalized learning system for K12 schools and vocational training institutes — covering knowledge graph, AI homework tutor, automatic error attribution, learning path recommendations, and teacher analytics — giving every student their own AI tutor.

Client: Zhejiang education group: 6 K12 schools + 2 vocational campuses, 12K enrolled students
Pain point: Wide student variance hard for teachers, time-consuming grading, hard to pinpoint weak knowledge points
Tech stack: BERT knowledge-point Embedding + Qwen3-8B + Qwen2.5-Math-7B homework tutor Agent + Neo4j knowledge graph + Electron offline client + WeChat mini-program
Deployment: Alibaba Cloud Education dedicated zone + school on-prem edge node + education bureau regulatory reporting

40%Score gain

70%Grading saved

12KActive students

These are 4 representative cases out of 70+ delivered projects — spanning finance, cross-border e-commerce, manufacturing, and education.

Get full case studies for your industry

About Us

Empowering Every
Enterprise with Real AI

Founded in Hangzhou, our core team comes from leading internet companies and top universities. We believe AI shouldn't be a game for tech giants — it should be a productivity tool that every company can use and benefit from.

Since 2023, we've been focused on shipping LLM and Agent technology into real production environments, serving 70+ clients with end-to-end consulting and implementation.

2023

Founded

80%

Senior engineers

4

Industries served

24/7

Operations support

Mission

Move AI from papers to production, from demos to business core.

Vision

To be the most trusted enterprise AI implementation partner.

Values

Customer success first. Engineering culture. Continuous learning. Pursuit of excellence.

Get Started

Start Your AI Implementation Journey

Bilingual contracts · Strict NDA · 24/7 email response

Tell us about your scenario. A dedicated consultant will reach out within 1 business day.

01

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Fill the form (name / company / contact / focus area / brief) — your submission is routed to a dedicated consultant within 0.5 seconds.

02

Consultant Callback — within 1 business day

A dedicated consultant reaches out within 1 business day to confirm company background, business scenario, pain points, current AI usage, and budget range — and book a meeting.

03

Requirements Discovery

Business experts spend 1-3 days on-site / remote, producing a status-quo diagnostic: AI-applicable scenario list + priorities + expected outcome metrics, aligned with you.

04

Solution Design

Tech experts + product managers deliver a full proposal: tech stack / system architecture / delivery timeline / team allocation / risks & mitigations — the contract baseline.

05

POC Validation

2-3 week POC on key scenarios using your real data and real business workflows. If results satisfy you, enter formal engagement. POC fee can be credited toward the full project.

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