Enterprise AI Deployment
Integrate cutting-edge AI technology into your business processes. From model training to automated deployment — build an intelligent system that’s truly yours.
Enterprise AI Adoption Pitfalls
Don’t Know Where to Start
Impressed by ChatGPT and Claude, but no idea how to apply them to your business. Want to adopt AI but don’t know where to begin.
API Costs Too High
OpenAI/Anthropic API fees are expensive — tens of thousands per month on AI alone. Costs too high to sustain.
Data Security Concerns
Sensitive company data can’t be uploaded to cloud AI services. Worried about data leaks and privacy — need on-premise deployment.
No Technical Talent
No AI engineers. Don’t understand model training, fine-tuning, or deployment. Want AI capabilities but don’t know how.
Process Automation Difficulty
Tons of repetitive tasks to automate (customer service, data processing, content generation), but don’t know how to implement with AI.
Can’t Customize
Generic AI models don’t perfectly fit company needs. Need scene-specific fine-tuning but don’t know how.
Two Pillars of AI Transformation
AI Model Deployment
Help enterprises deploy on-premise AI models — from open-source model selection to fine-tuning optimization, building your proprietary AI system.
- On-premise LLM deployment (Llama, Mistral, Qwen, etc.)
- GPU server planning & setup
- Model fine-tuning & optimization
- RAG knowledge base building
- API interface development
- Performance monitoring & optimization
n8n Workflow Automation
Build enterprise automation workflows with n8n — integrating AI, APIs, and databases for no-code automation.
- n8n platform deployment & config
- Automation workflow design
- AI model & API integration
- Multi-system integration (CRM/ERP/Email)
- Customer service chatbot building
- Scheduled tasks & trigger setup
Supported Open-Source AI Models
Llama 3.1
Meta’s open-source model — powerful language understanding and generation, supporting 70B/405B parameter versions.
Mistral / Mixtral
Europe’s AI rising star — high performance, low cost, ideal for rapid enterprise deployment.
Qwen 2.5
Alibaba’s open-source model — exceptionally strong Chinese capability, multi-language support.
Gemma 2
Google’s open-source model — lightweight and efficient, ideal for resource-constrained environments.
Phi-3
Microsoft’s small model — low resource consumption, high performance, ideal for edge deployment.
Custom Fine-Tuning
Fine-tune and optimize open-source models based on your specific business requirements.
Complete Deployment Stack
Hardware Planning
Optimal GPU server recommendations based on budget and needs. Model size, concurrency, budget constraints — best config advice.
- GPU selection (NVIDIA A100/H100/RTX 4090)
- Memory & storage planning
- Cloud vs on-premise evaluation
- Cost-benefit analysis
Model Deployment & Optimization
Complete deployment including quantization, inference acceleration, load balancing. Maximum performance on your hardware.
- Model quantization (4-bit/8-bit)
- Inference acceleration (vLLM/TensorRT)
- GPU memory optimization
- Batch processing & concurrency
Fine-Tuning Service
Fine-tune open-source models on your business data — make AI understand your domain, terminology, and response style.
- Enterprise knowledge base training
- Domain fine-tuning (legal/medical/finance)
- Customer service conversation style training
- Multi-language capability enhancement
RAG Knowledge Base
Build RAG (Retrieval-Augmented Generation) — let AI query your documents and databases for fact-based answers.
- Vector database setup (Milvus/Qdrant/ChromaDB)
- Document processing & indexing (PDF/Word/Web)
- Retrieval strategy optimization
- Answer source citation tracking
API Development
Standard API interface for apps, websites, and mobile. OpenAI API-compatible format — painless migration.
- RESTful API development
- WebSocket streaming responses
- API key management
- Usage monitoring & rate limiting
Monitoring & Maintenance
Continuous performance monitoring, resource usage tracking, stable AI service operation. Regular optimization and model updates.
- Performance monitoring dashboard
- Anomaly alert system
- Periodic performance optimization
- Model version updates
⚡ n8n Automation Workflows
No-code enterprise automation — integrating AI with all your systems.
AI Customer Service Bot
LINE/Telegram/Discord integration — auto-reply to customer questions. AI understands queries, retrieves from knowledge base, escalates to human when needed.
Email Auto-Processing
Auto-read emails — AI classifies, summarizes, replies. Important emails auto-forwarded, inquiries auto-create tickets.
Data Auto-Processing
Collect data from multiple sources (Sheets/Excel/DB), AI cleans, analyzes, generates reports, auto-sends to relevant personnel.
Content Auto-Generation
Scheduled news/info scraping, AI rewrites into articles and social posts. Auto-publish to website, FB, IG, LINE.
Monitoring & Alerts
Monitor website, API, database status. Anomalies auto-alert to Slack/LINE/Email, even auto-execute recovery workflows.
System Integration
Connect different systems (CRM/ERP/e-commerce), auto-sync data, create orders, update inventory, send notifications.
Cloud API vs On-Premise Comparison
OpenAI / Claude API
- Pay-per-use, expensive at scale
- Data uploaded to cloud — leak risk
- Can’t fine-tune, generic models only
- API rate limits & quotas
- Requires stable internet
- ✓ No hardware investment
- ✓ Simple, no tech background needed
Local Open-Source Models
- One-time hardware investment, no usage fees
- ✓ Data stays internal — absolute security
- ✓ Fine-tune for your specific business needs
- ✓ Unlimited usage — use as much as you want
- ✓ Runs on intranet — no internet dependency
- Requires GPU server investment
- Needs technical support (we provide it)
Recommendation: If your monthly API costs exceed NT$30K, or you have data privacy needs, on-premise deployment is the better investment.
Our Technology Arsenal
🦙 Llama 3.1 | 🌊 Mistral | 🐉 Qwen 2.5 | ⚡ vLLM | 🔥 PyTorch | 🤗 HuggingFace | 🔗 LangChain | 📦 ChromaDB | 🌀 n8n | 🐳 Docker | ☸️ Kubernetes | 💚 NVIDIA
Service Plans
- Open-source model selection & deployment
- Hardware planning recommendations
- Model quantization optimization
- API interface development
- 3-month technical support included
- Full documentation & training
- AI model deployment + fine-tuning
- RAG knowledge base building
- n8n platform deployment
- 10+ automation workflows
- 6-month technical support included
- Full training & handoff
- AI technical consulting
- System monitoring & maintenance
- Model updates & optimization
- New feature development
- Technical support (5×8 or 7×24)
- Regular performance reports
* Actual pricing based on project scale, complexity, and hardware requirements
* Customizable scope and services
Ready to Let AI Transform Your Enterprise?
Whether deploying AI models, building automation workflows, or AI technical consulting — we deliver the most professional solutions.