A new kind of education
Build who you could become.
Thesis is an AI mentor that learns who you are, helps discover what you’re capable of, and guides what you should learn, build, and pursue next.
Every student should have someone thinking about what they should do next.
Thesis makes that possible.
Thesis is a persistent AI mentor for K–12 students. It deeply understands each student, finds the most valuable directions for them to explore, teaches what they need to know, and helps them turn their interests into skills, projects, and real accomplishments.
01 Understand
Thesis learns who you are.
Your interests, strengths, weaknesses, accomplishments, goals, previous work, and everything you do inside Thesis become part of a persistent understanding of you.
02 Discover
See paths you didn’t know existed.
Thesis continually finds intellectual directions, skills, projects, and opportunities that fit who you’re becoming.
03 Learn
Learn what the next step requires.
When something interests you, Thesis teaches the concepts and skills necessary to go deeper.
04 Build
Turn interests into accomplishments.
Design experiments. Build projects. Enter competitions. Explore research. Thesis stays involved through execution rather than stopping at a recommendation.
05 Evolve
Your plan changes as you do.
Thesis watches what you love, what you’re good at, where you struggle, and what you accomplish — then decides what comes next.
- ISEF · First PlaceA First Place mentee in each of the last three years — three different students.
- Stanford · MITFormer students now working in research groups at both.
- Five families$108,000 in twelve-month engagements since May 2026 — every one inbound.
You shouldn’t have to know what to ask.
Most AI waits for a question. Thesis helps you figure out which questions are worth asking in the first place.
One mentor. Years of context.
Grades are only the beginning. Every project, interest, success, failure, and conversation helps Thesis understand you better — and makes the next recommendation better.
- Daniel KangChief Executive. ISEF First Place from a kitchen-built lab; Stanford; three consecutive First Place mentees since.
- Manu ThakurChief Technology. Built the entire Thesis platform in four months, alongside Amazon; Berkeley.
We work with a limited number of families during the private preview.
Full engagements pair Thesis with human mentors — long-term strategy, research mentorship, and competition guidance — at $18,000–$36,000 a year.
These engagements are the first version of the product — the same mentorship ships next at about $299 a month with a mentor, then about $99 on its own.
Most families come to us by referral.