Enterprise AI & Machine Learning Solutions in Malaysia

TESS builds production-grade AI systems that go far beyond proof-of-concept demos. Our AI engineering team, based in Kuala Lumpur, specializes in designing, training, and deploying machine learning systems that operate at enterprise scale with enterprise reliability.

Our Generative AI practice is anchored in Retrieval-Augmented Generation (RAG). We build custom RAG pipelines that connect large language models to your proprietary data—internal documents, databases, knowledge bases, and real-time data streams. Unlike generic RAG implementations, our systems use advanced chunking strategies, hybrid search (combining dense embeddings with sparse BM25), and re-ranking models to achieve >95% retrieval accuracy on domain-specific queries.

Our Agentic AI framework enables autonomous multi-step workflows. We design AI agents that can parse complex business requests, break them into sub-tasks, execute API calls, query databases, generate reports, and route decisions to human reviewers when confidence thresholds aren't met. These aren't simple chatbots—they're intelligent process automation engines that reduce manual workload by 60-80%.

On the ML Ops front, we build end-to-end pipelines using Kubeflow and MLflow for experiment tracking, model versioning, and automated retraining. Every model we deploy comes with comprehensive monitoring dashboards tracking drift, latency, and accuracy in real-time. When model performance degrades, our systems automatically trigger retraining pipelines using fresh data, ensuring your AI never goes stale.

We also specialize in fine-tuning open-source foundation models (Llama, Mistral, Gemma) for domain-specific tasks, reducing your dependency on expensive API calls to closed-source providers. Our fine-tuned models run on your infrastructure, ensuring complete data sovereignty—critical for Malaysian enterprises operating under PDPA regulations.