Lantr was founded by UC Berkeley engineers who also run Predexon, a venture-backed Silicon Valley AI data startup valued at over US$15M. We have turned our methods for engineering products, making decisions, and running a company into a rigorous system for young builders. Students define worthwhile problems, learn the technology their ideas require, test with users, and launch work they can explain with confidence. Those abilities matter in every field, and they last long after the tools change.
Student outcomes · founder offers · team and advisor experience
The practice behind the curriculum.
Everything Lantr teaches is checked against work the founding team does every day.
Predexon company valuation
of young people taught
original curriculum modules
UC Berkeley engineer co-founders
Why Lantr exists
People who can create will help define what comes next.
Lantr’s founders studied in the ATAR, Cambridge A Level, AP, and IB systems before pursuing engineering at Berkeley. They went on to build software, teach thousands of young people, and lead an AI company. Across those settings, the strongest people combined intellectual discipline with initiative, judgment, and the ability to turn an idea into something useful.
Lantr develops those abilities through one demanding system: deep understanding, current AI practice, and finished work that must serve users and withstand questions.
01
Teaching experience
Thousands of young people taught across leading international education systems
02
Product experience
Products and AI systems built at startups and leading technology companies
03
Original curriculum
A founder-built curriculum that turns current practice into strong student work
A strong team helps students make better decisions, not just finish more tasks.
Founders
Shape and update the core curriculum, assess Fellowship students, and lead the most important product decisions.
Mentors
Guide weekly progress, review the student’s work, and hold them accountable for explaining the complete system.
Advisors
Offer targeted domain perspective where the project, expertise, and advisor availability genuinely align.
The Portal
Keeps tasks, project plans, feedback, milestones, and parent updates connected in one workspace.
Our commitments
- The student owns every important decision and the final piece of work.
- Parents can see the plan, milestones, and record of progress without managing the project themselves.
- We recommend the smallest Lantr program that provides the structure a student currently needs.
- We do not guarantee admissions or employment outcomes, and we do not present advisor access as a guaranteed introduction.
Three AI founders who chose to build a company, and now help students create work of their own.
Lantr was founded by three Berkeley engineers who also run Predexon, a venture-backed AI company valued at over US$15M. The team earned Top-1% Strong Hire recognition at leading technology companies and received multiple US$300K+ offers from Amazon, Databricks, Applied Intuition, Google, and other leading companies. They chose instead to found a company and were admitted to Alliance, a top-tier global crypto and fintech accelerator, in a cohort with a 0.7% admission rate. Their experience reflects the qualities Lantr develops in every student: fluency with AI, initiative, responsibility for outcomes, and the ability to move from research to product. Together, they have taught and mentored more than 2,000 students.
Larry Pang
Co-founder · CS & Mathematics, UC Berkeley
Moved from China to Australia at 13 barely speaking English; graduated dux of Trinity Grammar School, Melbourne with a 99.95 ATAR in VCE, the only student in 2021 with perfect scores in Maths Methods, Specialist Maths, and Physics. His perfect ATAR earned the Chancellor's Scholarship, worth A$10,000 a year at Australian universities. Founded an edtech startup at 16, scaling it to 300 students before Berkeley. Received 5+ offers of US$300K+ from Big Tech and unicorns (Amazon, Databricks, and Applied Intuition among them) and now builds venture-backed Predexon.
Jason Lee
Co-founder · CS & Mathematics, UC Berkeley
Has taught thousands of students, including more than 200 through the leading New Zealand tutoring agency he has run since high school. At King's College, Auckland, he completed six and a half Cambridge A Levels, earning a 99.95 ATAR and the Chancellor's Scholarship, worth A$10,000 a year at Australian universities. He built a top-25 coding agent on SWE-bench, received multiple Big Tech offers, and has shipped software at Amazon, startups, and leading Silicon Valley companies. He is a member of the Forbes Business Council and has published commentary in Forbes.
David Qu
Co-founder · EECS Honors, UC Berkeley
Studied the American AP curriculum at Punahou School in Honolulu, then graduated from Berkeley's highly selective EECS Honors program, reserved for the engineering school's top computer science students. An agent-systems researcher since 2023, he received multiple Big Tech offers and has industry machine-learning experience at Amazon, startups, and across Silicon Valley. He brings deep technical oversight to every student project.
2×
Chancellor's Scholarships: Larry and Jason, each on a perfect 99.95 ATAR
2000+
students taught and mentored across the team before Lantr
$15M+
valuation of Predexon, the venture-backed startup they founded and run
Millions
of users on AI products they've shipped
A carefully selected network of experts strengthens the decisions that matter most.
Lantr’s core team leads the AI, product, and execution work. When a project calls for deeper subject expertise, and the right advisor is a genuine fit and available, we draw on a network spanning strategy consulting, machine-learning research, economics, software engineering, medicine, and the life sciences.
Harvard
B.A. Government & Economics
Wharton
Incoming MBA
Boston Consulting Group
Consultant
Michael Ma
Columbia University
CS & Mathematics
IMO
New Zealand National Team
Predexon
Quant data systems · ML research
Jason Kwak
Harvard
B.A. Economics
Bain Capital
Investment Banker
University of Chicago
Economics & Data Science
Walmart
Corporate Economist
Published Research
Economics
Dylan Lee
Vanderbilt
CS, Applied Math & Economics
Goldman Sachs
Software Engineer
IB Top Scholar
1,000+ students taught
Raymond Li
UC Berkeley
Molecular & Cell Biology
Keystone
Tech & Economics Consulting
CAIE Top Scholar
Cambridge International A-Levels
Ivan Ho
Stanford
CS, Music & Linguistics
New Zealand Cancer Society
Software & Data Engineer
James Liu
Monash University
Doctor of Medicine (MD)
Cao Lab for Medical AGI
Medical AI Researcher
Monash Medical AI Summer
Sessional Academic
Eddie Zhang
University of Sydney
B.Sc. Anatomy & Histology · Doctor of Medicine (MD)
NEWGEN International Education
CEO
Free 30-minute consultation
A strong direction begins with an expert assessment.
We’ll assess the student’s interests, current ability, and goals, then recommend a project direction and level of guidance that fit. Students and parents are both welcome.
2-minute form · free 30-minute consultation · no obligation