AI neural network
Services / Engineering

AI & Machine Learning

Production ML pipelines — not Jupyter notebooks. Real systems deployed with MLOps and monitoring.

What we deliver

We deploy AI systems that work in production — with proper inference pipelines, monitoring, retraining loops, and failover. Most of our ML work is RAG, computer vision, or predictive analytics for enterprise clients.

Core capabilities

  • LLM integration & RAG — retrieval-augmented generation with enterprise data, guardrails, and cost optimization
  • Computer vision — object detection, classification, and segmentation for healthcare, manufacturing, and logistics
  • NLP & text analytics — sentiment analysis, document processing, and multilingual models (Malay, English, Chinese)
  • Predictive analytics — demand forecasting, churn prediction, and anomaly detection
  • MLOps & infrastructure — model versioning, A/B testing, automated retraining, and inference optimization
  • AI strategy consulting — identify high-ROI use cases, build vs buy analysis, and pilot planning

Our approach

We don't believe in AI for AI's sake. Every project starts with a business question: what decision will this system improve? We validate feasibility in a 2-week spike before committing to full development.