About AgenticLab

We bring AI Agents to the most important problems in higher education.

AgenticLab focuses on the AI problems specific to higher education — where academic rigor, assessment processes, and coordination between stakeholders demand tailor-made solutions.

ThesisMentor AI is our flagship product — a comprehensive platform for thesis mentorship, progress tracking, and assessment, ensuring academic quality at every stage.

Positioning

Name
AgenticLab
Field
AI Agent systems for higher education
Initial focus
Academic mentorship and assessment, responsible AI in education
Founding team

Where academic research meets AI engineering.

AgenticLab is built by a team with deep foundations in Artificial Intelligence, Natural Language Processing, and real-world experience in higher education — united by a shared passion for bringing AI into education responsibly.

AC

Assoc. Prof. Dr. Le Anh Cuong

Founder · Associate Professor, PhD

Expert in Artificial Intelligence, Machine Learning, Deep Learning, and Natural Language Processing. Has led multiple ministry-level research projects and delivered professional development programs on Digital Transformation and AI Applications for government agencies and enterprises.

HP

Huynh Minh Phuc

Co-Founder · AI Engineer

Computer Science specialist with years of hands-on experience building production AI systems — particularly in NLP, Chatbot, AI Agent, Agentic AI, and OCR solutions in Vietnam.

Academic advisors

Our advisory board includes faculty members at Ton Duc Thang University (TDTU) — seasoned educators and researchers with deep understanding of thesis supervision workflows in Vietnamese universities. Additionally, talented young engineers with strong expertise in AI, Agentic AI, and multi-agent systems bring fresh energy and perspectives to the product.

Our mission

Building a sustainable AI ecosystem for education.

Our goal is to create an ecosystem and community that leverages the power of AI Agents to sustainably improve the quality of education — supporting, not replacing, traditional teaching methods. We seek a new path to introduce AI into education naturally, driven by the real needs of both learners and educators, to advance education as a whole.

Product principles

The things we have held constant from day one.

Faculty always have the final say in every academic decision.
Every use of AI is transparent, traceable, and controllable.
The product is grounded in how universities actually operate — not theoretical ideas.
We prioritize long-term value for users over short-term demo effects.
How we got here

01

Field research

Working with faculty and academic units to deeply understand the thesis supervision problem as generative AI becomes ubiquitous.

02

Capability validation

Building and refining each core capability: academic assessment, progress tracking, and supporting students through the thesis process.

03

Unified product

Consolidated into a single platform, ready for deployment at partner universities.