Team

Meet the people behind KaraOrchee.

A pianist, a cellist-composer and a computer scientist. A few unreasonable ideas. And a surprisingly large amount of sheet music.

Our story

It started with an orchestra that didn't exist.

Crystal wanted to practice a concerto without having to follow a recording.

Justin thought about what it would take to make a computer follow a performer instead.

Jackson knew that following the notes wouldn't be enough. The computer would also have to understand the score.

So we started building. We began with the problem of following a live musician. Then came reading scores, recognizing performances, interpreting musical information, and making it all work together.

Portrait of Crystal Zheyu Jiang

Founder & CEO · Concert pianist

Crystal Zheyu Jiang

“I've spent most of my life telling people how music should sound. Then I started telling computers.”

I was eleven when I left home to study at one of China's most prestigious music schools. Back then, my world was pretty straightforward: practice, lessons, competitions, repeat.

That routine eventually took me to Oberlin, onto concert stages, and into performances with symphony orchestras. I won the Wideman Gold Medal and the Naftzger Grand Prize, recorded my first album, and somehow ended up teaching the next generation of pianists, too.

But here's something people don't often see.

You can spend eight hours practicing a concerto in a room by yourself. And when you finally get to rehearse with an orchestra, you may discover that the orchestra has an entirely different opinion about your tempo.

I kept wondering: why, with all the technology we have, can't I practice with something that actually listens to me?

That question eventually became KaraOrchee.

At first, I wanted to build an orchestra that could follow a soloist. Then I started thinking about my students: the little discoveries we make during lessons, the things I explain three different ways until something finally clicks, and how much of that gets lost by the following week.

Now I spend a rather unusual amount of time discussing software, AI models, music notation, and product design with my co-founders.

I still practice. I still teach. And I still have a habit of asking for features that Justin tells me are considerably harder than they sound.

I usually ask again anyway.

Portrait of Justin Qinyuan Liu

Co-Founder & CTO · Computer scientist

Justin Qinyuan Liu

“Apparently, ‘just make it follow the pianist’ is not a technical specification.”

My background is computer science. I studied at Johns Hopkins and worked in software engineering in fintech, where systems are generally expected to do exactly what they're told.

Then I started building software for musicians.

Musicians have a rather different relationship with precision.

They slow down on purpose. They speed up without warning. They stop, restart, skip around the score, and sometimes play something that isn't even written on the page.

And the software is supposed to understand all of that.

Crystal often describes a feature in one sentence. Then we spend the next several weeks working out how to make that sentence possible.

What began as an attempt to build a responsive digital orchestra has grown into a much larger engineering problem: teaching computers to work with the way people actually read, play, and learn music.

My work now spans real-time music processing, interactive scores, AI integration, and the systems that make all of it work on iPhone and iPad.

One of the stranger things about this job is that the better we do it, the less anyone notices the engineering.

Which, as it turns out, is exactly what we're aiming for.

Portrait of Jackson Xiaoyu Guan

Co-Founder & COO · Cellist & composer

Jackson Xiaoyu Guan

“I can spend hours arguing about a single rest. Unfortunately, I usually have a good reason.”

I've spent more than twenty years with music, studying both cello and composition.

Playing and writing music are two different experiences. When I perform, I think about the phrase, the sound, the person sitting next to me. When I compose, I have to decide exactly how to communicate those things on a page.

And then there's the question of whether anyone will interpret that page the way I intended.

Now imagine asking a computer to do it.

A missing slur can change a phrase. A repeated section can send you back to the wrong measure. A rest that looks unimportant might be the very thing holding an entire passage together.

These are the kinds of details I find myself thinking about at KaraOrchee.

I work on our repertoire, music-library production, score accuracy, and operations. That means moving between Beethoven sonatas, MusicXML files, technical discussions, and the occasional very long conversation about notation.

It's an unusual combination of jobs.

But when you're trying to teach a computer something musicians have spent centuries learning, the details aren't really optional.

Somewhere along the way, we discovered something else.

The same technology we were developing for a digital orchestra could also help with a problem almost every music student knows: leaving a lesson with a head full of advice and forgetting half of it by the next morning.

That led us to the KaraOrchee app we're building today, where scores, recordings, lesson notes, and practice can finally share the same space.

Our original orchestra is still part of the bigger picture. In fact, we're working on the underlying AI that could make it possible.

We don't know exactly how far this will take us. But we have a fairly good idea of what we'll be working on tomorrow.

Backing

  • 2026TEDCOBaltimore Innovation Initiative
  • 2025TEDCOUrban Business Innovation Initiative
  • 2025Maryland Innovation CenterPumpkin Pitch, Third Prize
  • 2025Johns HopkinsI&E Challenge
  • 2024HopStartFirst place
  • 2024PeabodyDean's Incentive Grant
  • Patent pendingUS provisional 63/911,980
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