Own the difficult layer
We understand and build the AI core instead of treating it as a black box.
AIPractix is an independent applied AI company in Vietnam. We turn specialized models into dependable software, products and production systems.
A model becomes valuable only when it works inside a real operation—with imperfect data, existing infrastructure and people who need reliable outcomes. That belief shapes everything we build.
We work across the complete delivery chain, so research decisions remain connected to product and deployment realities.
We understand and build the AI core instead of treating it as a black box.
Accuracy, latency, security and operational constraints are evaluated together.
Systems should remain understandable, maintainable and useful after the first release.
AIPractix is built by a focused team of AI researchers, engineers and product builders in Vietnam. We work closely across models, SDKs and real-world applications—turning research into dependable AI products that organizations can actually deploy.

Nguyen Quoc Khai is the Founder and AI Principal of AIPractix. He holds a Master’s degree in Computer Science and brings more than 10 years of experience in technical leadership, computer vision, face recognition, model engineering and production AI systems.

Assoc. Prof. Pham Nguyen Khang is the Academic & Research Advisor of AIPractix. With academic experience in France and many years of teaching and research, he works across artificial intelligence, computer vision, software systems and AI education, guiding the company’s research direction and academic collaboration.

Our engineering and product team grew from a carefully selected group of outstanding university students who began working with AIPractix early in their careers. Through years of close technical mentorship and hands-on product development, they have built deep practical experience across AI models, SDKs, platforms and production applications. Today, they are energetic and capable builders who take ownership, move quickly and understand what it takes to turn complex technology into reliable products.
Each initiative expanded the same capability: taking specialized AI from an idea to something people can actually use.
Our early exploration into applying specialized AI to health information.
A complete platform for creating tests, assigning work, and student practice.
Visual and semantic search for product & document discovery.
Face AI models, APIs, SDKs, and ready-to-use applications.
We are building a compact, technically strong company whose AI can be integrated and trusted across cloud, private infrastructure and edge devices.