FOUNDED AND RUN BY HARVARD GRADUATES
AI RESEARCH PROGRAM FOR HIGH SCHOOL STUDENTS
Veritas AI takes ambitious students from their first line of Python to an independent AI research project, mentored 1-on-1 by researchers from the world's top universities and AI labs. Online from anywhere.
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Every program, what students build, and how financial aid works. No cost, no obligation.
3,200+
students taught
200+
mentors from top universities and AI labs
160+
countries represented
$290K+
awarded in financial aid
A NOTE FROM OUR PROGRAM DIRECTOR
“Curiosity is the starting point of every great discovery. Our Mission at Veritas AI is to help students develop the skills, confidence, and research mindset needed to shape the future of AI.”
— Daniel Marion, Program Director, Veritas AI
OUR PROGRAMS
AI Programs for High School and Middle School Students
Every program ends with something the student made.
AI Scholars
Learn Python, machine learning and modern AI from the ground up, then build a group research project with 3–4 peers.
Grades 9–12 · No experience needed · 10 weeks
AI Fellowship
An independent AI research project, 1-on-1 with a mentor, ending in a submission to a research journal or competition.
Grades 9–12 · Python basics or completed AI Scholars · 12 weeks
AI Accelerator
Our most advanced track — an independent research paper submitted to a college-level journal or a national competition.
Grades 9–12 · Advanced · Self-paced, accessible on your own schedule
Combination
AI Scholars and the AI Fellowship in one track — learn the fundamentals, then go straight into a 1-on-1 independent project.
Grades 9–12 · No experience needed · 16 weeks total
Deep Dive: AI + Medicine
Build models for diagnosis, medical imaging and genomics alongside a mentor working in the field.
Grades 9–12 · AI Scholars or Python experience · 8 weeks
Deep Dive: AI + Finance
Build predictive models for markets, risk and fraud detection with a mentor from the industry.
Grades 9–12 · AI Scholars or Python experience · 8 weeks
AI Trailblazers
A guided group AI project for middle school students — the same mentors, scaled to where they are.
Grades 6–8 · No experience needed · 8 weeks
STUDENT OUTCOMES
Student Outcomes and Results
The research is the point, but it isn't the end of it. Here's where the work goes after the program ends.
79%
of student papers submitted to peer-reviewed journals are accepted for publication
4.5x
more likely to be admitted — our alumni were accepted at 36%, against an 8% average at the same universities
Regeneron ISEF
Veritas AI research presented at the world’s largest pre-college science fair
What our students build
CLIMATE
Forecasting Harmful Algal Blooms in Tampa Bay
Harmful algal blooms like Florida's Red Tide kill thousands of fish and endanger public health. Neel built an XGBoost model that forecasts chlorophyll-a — the key indicator of algal biomass — days in advance from water, weather, and prior bloom conditions, plus a Random Forest classifier that flags whether a bloom is coming.
Published in the National High School Journal of Science
Neel · AI Fellowship, Summer 2025 · Read the paper
HEALTHCARE
Detecting Lung Cancer in CT Scans with a CNN
Slow detection timelines let cancer develop before results come back. Srihari built a convolutional neural network that identifies non-small-cell lung cancer in patient CT scans, cutting the time it takes to flag a case for review.
Published in the American Journal of Student Research
Srihari · AI Fellowship, 2025 · Read the paper
FINANCE
Stock Prediction — and Honestly Measuring Whether It Works
Online claims of highly accurate AI stock prediction usually go untested. Quan forecast prices for the S&P 500, NVIDIA, and JPMorgan across five horizons, then built a rigorous evaluation framework — walk-forward backtesting, a one-year hindcast, and live paper trading — showing that most reported accuracy reflects market drift, not real forecasting skill.
Open-source on GitHub
Quan · AI Fellowship, 2026 · View on GitHub
OUR MENTORS
Where our mentors come from
Our mentors are PhD/Master’s students at the institutions defining modern AI and practitioners at the labs building it.
UNIVERSITIES
INDUSTRY
Meet our mentors
Jonas
PhD Applied Mathematics
YALE UNIVERSITY
“The best way to learn is by building, experimenting, and solving real-world problems. I’m excited to see young innovators turn their ideas into meaningful impact.”
Soy
PhD Mechanical Engineering
STANFORD UNIVERSITY
“The best way to learn is by building, experimenting, and solving real-world problems. I’m excited to see young innovators turn their ideas into meaningful impact.”
Nikita
PhD Computational Physics
UNIVERSITY OF OXFORD
“The best way to learn is by building, experimenting, and solving real-world problems. I’m excited to see young innovators turn their ideas into meaningful impact.”
Ricardo
PhD Health Data Science
UNIVERSITY OF OXFORD
“The best way to learn is by building, experimenting, and solving real-world problems. I’m excited to see young innovators turn their ideas into meaningful impact.”
How does our AI research program work?
Four stages, start to finish. Classes are online via Zoom.
STEP 1
Build the foundation
Python, machine learning and modern AI from the ground up. No prior experience required.
STEP 2
Find your question
Work with your mentor to scope a research question you care about — and one that's tractable in the time you have.
STEP 3
Build and train your model
1-on-1 troubleshooting as an idea turns into working code and defensible results.
STEP 4
Publish or present
Submit to a research journal or competition, or showcase the work publicly.
CREDIT PARTNERSHIP
Credit Partnership with the University of California, San Diego
Students who successfully complete a high school program are eligible for post-baccalaureate credit through University of California, San Diego Extended Studies.
STUDENT TESTIMONIALS
Student Testimonials
Check out what our students have to say about Veritas AI’s programs!
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“Veritas AI significantly accelerated my AI journey. By the end of the program, I had a solid foundation in AI concepts and a portfolio of projects, which has been invaluable in my academic pursuits.”
— Pranai R.
University of California, Irvine, Freshman
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“Working one-on-one with another mentor in the Fellowship program has granted me the opportunity to further dive into the specifics of AI. The AI Scholars program taught me the basics of building an AI algorithm but now I could apply an AI project to a larger-scale audience.”
– Fiona V.
Bernards High School, Grade 10 -
“I am so grateful to Veritas AI for the opportunities it has provided me in combining my love of healthcare with the growth of AI and technology.”
— Anusuiya B.
Dominican Academy, Grade 11
FAQ's
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AI Scholars, AI Fellowship and the Deep Dive programs are open to students in grades 9–12. AI Trailblazers is for grades 6–8. No prior experience is required for AI Scholars or AI Trailblazers.
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All classes are online via Zoom. Students join from anywhere — we've worked with students in 160+ countries.
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Yes. Financial aid is need-based and available up to 100%. You apply for it inside the application form — tick the box and you're considered automatically. We've awarded $290,000+ to date.
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Students who successfully complete a high school program are eligible for post-baccalaureate credit through University of California, San Diego Extended Studies.
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200+ PhD researchers and industry practitioners from institutions including Stanford, Harvard, Oxford and MIT, and labs including Anthropic, Meta and NVIDIA.
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Real durations for all 7 programs
Program lengths vary: AI Scholars and all Deep Dives run 25 hours over 10 weeks (or a 2-week intensive). AI Accelerator runs 25 hours over 10 weeks. AI Fellowship runs 12–15 weeks. The Combination program follows the AI Scholars timeline followed directly by the AI Fellowship timeline. AI Trailblazers runs 25 hours over 10 weeks (or a 2-week intensive).
Ready to do real AI research?
Applications are reviewed on a rolling basis. Need-based financial aid is assessed inside the same form.