He Started an AI Startup in High School, Raised $2M by 22

 

An AI startup founded in high school. Over $2 million raised by age 22. And a bold decision to skip college entirely.

That’s the path Ishraq Khan chose when he built Kodezi, an AI company focused on automating code debugging and maintenance. While many of his peers were preparing for college exams, he was preparing investor pitches.

And he doesn’t regret the choice.

Table of Contents

1. A High School AI Startup That Raised $2 Million

2. From Bangladesh to the Bay Area: Where It Started

3. The Problem That Sparked Kodezi

4. Building an AI Prototype at 17

5. The First VC Call and a Bigger Vision

6. Cold Emails, Events, and a $20,000 Angel Check

7. Raising $800K Before 19 — and $2M Before 22

8. The Four Questions Every Investor Asked

9. The Hardest Decision: College or Company?

10. Life After Skipping College

11. Lessons for Young AI Founders

12. Final Takeaway 

1.A High School AI Startup That Raised $2 Million

When you hear about a teenager raising venture capital for an AI startup, it sounds like a Silicon Valley headline. But for Ishraq Khan, it started with something simple: curiosity.

At 22, he now runs Kodezi, a company with more than 35 employees. The platform focuses on automating code maintenance for programmers  essentially helping developers fix and improve their code automatically using AI.

But the idea didn’t begin in a startup accelerator. It began in a high school computer science class.

2.From Bangladesh to the Bay Area: Where It Started

Khan moved to the United States from Bangladesh in 2011 with his family. Shortly after arriving, his father bought him a laptop.

That laptop changed everything.

While browsing YouTube, he discovered coding tutorials. One video turned into many. Soon, programming became more than a hobby it became an obsession.

By freshman year of high school, he was already deeply involved in computer science.

3.The Problem That Sparked Kodezi

During class, Khan noticed something frustrating. Students spent large amounts of time debugging code fixing small errors and correcting syntax.

He began asking himself a simple question:

Why isn’t there something like Grammarly for programmers?

If writing tools can automatically fix grammar mistakes, why couldn’t software fix coding errors?

That idea became the foundation for his AI startup.

4.Building an AI Prototype at 17

Turning that idea into reality was not easy. Khan spent nearly a year experimenting with machine learning models and code automation systems.

He focused on one goal: creating software that could analyze code, identify problems, and fix them automatically.

Eventually, he built a working prototype.

At 17, he had something most adults struggle to create a functional AI tool solving a real developer pain point.

That prototype became Kodezi.

5.The First VC Call and a Bigger Vision

By his senior year, venture capitalists began showing interest. One investor reached out to discuss his product.

There was one problem: no clear monetization model.

That feedback forced him to think bigger. Instead of building just a tool, he began shaping a company with long-term enterprise value.

He realized that if he wanted to build something meaningful, he needed to focus on scalability, business structure, and market positioning not just technology.

6.Cold Emails, Events, and a $20,000 Angel Check

One of his most powerful strategies was surprisingly simple: writing emails.

He searched online for email addresses of CEOs, AI researchers, startup founders, and venture capitalists. Then he reached out directly.

At first, he asked for internships and advice. Over time, those conversations shifted toward what he was building.

He even emailed the organizers of a tech event called Orlando Synapse. He explained he was a high school senior who couldn’t afford a booth but wanted to showcase his product.

They said yes.

After attending the event and posting about it on LinkedIn, he secured one of his first angel investments $20,000 before turning 18.

7.Raising $800K Before 19 and $2M Before 22

Raising venture capital as a teenager was not easy.

Many investors were skeptical. AI was still viewed as experimental at the time. Generative AI had not yet gone mainstream. There was no ChatGPT reshaping public perception.

Investors questioned both the technology and his ability to execute at scale.

Still, he pushed forward.

Before turning 19, he raised $800,000. By 22, he had raised over $2 million.

8.The Four Questions Every Investor Asked

Khan learned that every investor conversation came down to four core questions:

1. What are you building?

2. Why does it matter?

3. Why could this become a billion-dollar company?

4. Why are you the right person to build it?

He also changed his mindset during investor meetings.

Instead of feeling like he was being interviewed, he treated conversations as two-way evaluations. He asked investors about their goals, thesis, and expectations.

That shift gave him confidence and helped him choose better partners.

9.The Hardest Decision: College or Company?

While raising funding, Khan was also applying to colleges. He applied to 60 schools and was accepted into more than a dozen, including Ivy League institutions.

But internally, he was uncertain.

Some investors hesitated when he said he might still attend college. That uncertainty created doubts about his long-term commitment.

Eventually, he made a clear decision: skip college and build full-time.

He realized something important.

If he went to college, he might lose the momentum he had built. The AI industry was moving fast. By the time he graduated, thousands of others might already dominate the space.

College could wait. Opportunity could not.

10.Life After Skipping College

He does not regret skipping college.

He acknowledges that college offers a built-in social environment that is hard to replace. It makes friendships easier. It provides structure.

But today, the people he surrounds himself with are builders founders, operators, and ambitious professionals focused on creating meaningful products.

That shared mindset gives him a different kind of network.

11.Lessons for Young AI Founders

Khan’s story offers clear lessons for aspiring AI entrepreneurs:

Move quickly. The AI landscape changes rapidly.

Seek feedback from people outside your friend circle. Honest feedback reveals whether your idea truly connects with users.

Do not chase external labels like “success.” Focus on excellence in execution.

Understand the opportunity cost of your decisions. Every path means saying no to another.

Most importantly, build something that solves a real pain point.

What’s Next for Kodezi?

Kodezi has grown to more than 35 employees. The company’s mission is clear.

Kodezi wants to become the automated mechanic for software.

Its long-term goal is to dominate the code maintenance layer for enterprise companies. Instead of developers spending hours fixing legacy code, AI systems would keep codebases healthy over time.

Khan sees himself still building this company at 30.

He believes younger founders will drive much of the next wave of AI innovation.

Expert Guidance to Strengthen This Article Further

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• A short comparison of Kodezi vs other AI coding tools

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These elements improve authority, dwell time, and reader value.

12.Final Takeaway

This story is not about skipping college.It is about clarity.

Khan saw an opportunity, built a solution, and committed fully when it mattered most.

In an AI-driven world, speed, focus, and execution can matter more than traditional paths.

College is powerful. So is entrepreneurship. The key is knowing which one fits for you.

If you want more real stories about AI founders, startup funding strategies, and practical AI business insights, follow Econ AI.

Because the future of AI will not only be built by corporations it will be shaped by bold individuals who move before the world catches up.