✅ What is a Custom AI Model?
A custom AI model is a machine learning or deep learning model trained to solve a specific problem for a specific organization using relevant, often proprietary data.
Unlike generic AI tools, a custom model delivers:
- 🎯 Higher accuracy
- 🧠 Better domain understanding
- 🔒 Data privacy and control
- ⚙️ Better integration with internal systems
🚀 Why Build Custom AI Instead of Using Pre-Trained Tools?
| Generic AI Tools | Custom AI Model |
|---|---|
| Trained on public data | Trained on your internal data |
| Limited context | Deep domain-specific understanding |
| Hard to fine-tune | Fully controllable + adaptable |
| No ownership | Full IP ownership & flexibility |
✅ Custom AI = Competitive Advantage
🌏 Why Vietnam for Custom AI Development?
Vietnam is a rising star in the global AI market, thanks to:
- 🧠 Talented data scientists and ML engineers
- 💸 Affordable rates ($15–25/hour)
- 🌐 Experience with offshore collaboration (EN/JP)
- 🚀 Fast prototyping and turnaround time
💡 Companies like NKKTech Global deliver enterprise-grade AI models with global scalability.
🏆 How NKKTech Global Builds Custom AI Models – Step by Step
Phase 1: 🔍 Requirement Analysis & Use Case Design
- Define AI objective (classification? prediction? recommendation?)
- Identify KPIs and success metrics
- Determine available & missing data
Phase 2: 📊 Data Strategy & Collection
- Gather internal documents, logs, images, or audio
- Apply OCR, labeling tools, or RPA if needed
- Ensure data cleaning, structuring, anonymization
Phase 3: 🧠 Model Design & Training
- Choose model type: classification, regression, NER, NLP, etc.
- Fine-tune LLMs (e.g. GPT, LLaMA, Claude) or build from scratch
- Tools: PyTorch, TensorFlow, HuggingFace, OpenAI APIs
Phase 4: 🧪 Validation & Evaluation
- Run benchmark tests
- Measure accuracy, precision, recall, latency
- Compare models and select best-performing one
Phase 5: 🚀 Deployment & Monitoring
- Expose via API (FastAPI, Flask, NodeJS)
- Host on AWS, GCP, or private server
- Set up retraining, model drift alerts, logging
🎓 Example Use Cases from NKKTech Global
| Industry | Use Case | Tech Stack |
|---|---|---|
| Education | AI model to evaluate video-based ECG tests | PyTorch + custom video labeling |
| eCommerce | Product recommender system | TensorFlow + NodeJS backend |
| HR SaaS | Resume matching engine | Sentence Transformers + Supabase |
| Logistics | Route optimization engine | Python + Google Maps + RL algorithms |
| Retail | Receipt OCR + line item AI tagging | Tesseract + GPT + Supabase |
⚡ Tools & Technologies NKKTech Uses
| Category | Tools / Stack |
|---|---|
| Model Training | PyTorch, TensorFlow, HuggingFace |
| Data Labeling | Roboflow, CVAT, custom-built tools |
| LLMs | GPT, Claude, Gemini, LLaMA |
| Backend APIs | FastAPI, Flask, NodeJS |
| Hosting | AWS, GCP, Viettel Cloud, Render |
| Monitoring | MLflow, Weights & Biases, Prometheus |
💬 Client Testimonial
“We had a niche problem involving voice classification in Japanese. NKKTech helped us build a custom model that reduced error rate by 55%. They’re fast, reliable, and deeply technical.”
– CTO, Tokyo-based voice AI startup
✅ Why Choose NKKTech Global?
- 🔧 Full-stack AI development: from concept to deployment
- 💰 Cost-effective model (hourly, monthly, or fixed)
- 💬 English/Japanese bilingual team
- 🔐 IP ownership retained by client
- 🚀 Fast delivery (MVP in 7–14 working days)
📌 Contact us to build your own custom AI model today.
🌐 Website: https://nkk.com.vn
📧 Email: contact@nkk.com.vn
