AgenticLab builds Project Mentor. Today, a lecturer sets their own critique criteria and the AI reviews every student's work against them — a shared workspace, live and ready for real thesis supervision. Next, that personalized mentorship scales to far more students at an affordable cost.
Live
On Google Cloud
4
User roles
9
AI capabilities
2026
Founded · HCMC
Real screen from the running product — lecturer dashboard
Built for
Lecturers and StudentsVietnamese UniversitiesResearch and Graduate SchoolsFaculty advisors, students, coordinators, and administrators all have different priorities. Project Mentor is built to respect that — not flatten them into a one-size-fits-all workflow.
Automate the repetitive parts of supervision and focus on the judgment only you can give. Set your own critique criteria and the AI reviews every student against them — reaching more students than your calendar ever could.
A patient mentor that answers between supervisor meetings — so you can course-correct early instead of waiting a week, and keep your momentum and ideas alive.
Oversee supervision across an entire faculty — match students to the right advisors and catch the ones falling behind before the defense, not after.
Program-wide visibility on supervision quality across departments — long before the defense, not after.
Students refine proposals against the department's standards and the advisor's rubric — before the work formally begins.
Continuous feedback on literature coverage, argument structure, and citation quality. Advisors see each student's reading and writing progress.
Chapter-by-chapter assessment of methodology, results, analysis, and discussion with concrete improvement suggestions.
Structured assessment reports for reviewers and committees, plus a full supervision record for quality assurance.
The AI starts by supporting real supervision, then learns each lecturer's way of working — taking on more over time, always under their direction. Teal is the lecturer; gold is their AI.
A shared workspace, live and ready for real thesis supervision — AI supports grading, feedback and research. As we onboard our first pilot partners, we gather feedback and shape the first generation of agents.
Each lecturer's style, standards and expertise shape an AI that handles routine mentoring 24/7 — always under the lecturer's supervision.
Personalized agents carry most of the routine load, freeing lecturers for curation, judgment and depth — and reaching far more students.
Lecturers publish their AI mentors and earn from usage; students anywhere choose the mentor that fits their project — affordable, personalized guidance at scale.
As the marketplace opens, lecturers publish a personalized AI mentor trained in their own expertise — and students pick the one that fits their project, at an affordable per-project price.
AI mentor · trained by a real lecturer
AI mentor · trained by a real lecturer
AI mentor · trained by a real lecturer
Today, you partner with us as a pilot lecturer — this is where it's heading.
A real, narrated step-by-step walkthrough — recorded on the live product. More how-to videos →
Advisors review each submission with an optional AI pre-check, AI-assisted comments, and an optional rubric, then make one of three decisions. The judgment stays human.
Coordinators see a live risk score per student — computed from overdue tasks, days without submitting, rejection rate and engagement — so they can step in before the defense, not after.
A dedicated platform for thesis mentorship and assessment. Today it tackles the three pressures of every thesis season — lecturer overload, slow feedback, and the need for transparency — with the lecturer always in control of the AI.
What's included
Faculty always have the final say — AI amplifies a lecturer's expertise, it never replaces it.
Every use of AI is transparent, traceable, and controllable.
Great mentorship should reach every student — regardless of cost or location.
Grounded in how supervision really works — built with real lecturers and students, not theory.
AgenticLab is founded by Assoc. Prof. Dr. Le Anh Cuong (AI/NLP researcher, 60+ international publications) and Huynh Minh Phuc (AI engineer), supported by an academic advisory network of experienced faculty in Vietnamese higher education.
Meet the team
Assoc. Prof. Dr. Le Anh Cuong
Founder
Associate Professor, PhD — Computer Science
Expert in AI, Machine Learning, Deep Learning, and NLP with over 60 international publications (H-index 16). Years of experience leading research projects and delivering professional training programs on Digital Transformation and AI Applications for government agencies and enterprises.
Huynh Minh Phuc
CEO & 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. Owns the overall architecture, technical direction, and engineering quality at AgenticLab.
Lecturers: partner with us to shape your own AI mentor — free during the pilot. Students: join a lecturer's group and try it at no cost. We're onboarding our first pilot partners across Vietnam.
