Owl AI

How do you measure a skateboard run while it's still happening?

Four frames: capture, read, measure, deliver — as OWL reads Gui Khury's run at X Games Sacramento in real time.

The run becomes numbers the moment it happens.

New Orleans is next: July 24–26.

Everyone kept asking about the iPhones on top of the ramp 👀

Those were OWL's.

Each one's an OWL capture rig. Mounted on top of the vert ramp, they read every run as it happens: how high the air was, how long riders hung, how fast they moved. Live, straight to the booth.

When everyone sees the same moment the same way, athletes compete, judges decide, and fans watch with the same confidence.

No truck. No special sensors. Just consumer hardware and the OWL platform.

Never Miss. 🦉

Why don't smaller sports get instant replay, scoring graphics, and judging tech? Because that infrastructure has always cost more than an emerging league can carry.

At MIT Sloan, our key AI advisor Josh Gwyther explained what changes that: cameras only. no sensors, no special hardware. The intelligence does the rest, so any sport can look broadcast-grade — a league you've never heard of starting to look like the NFL.

This is Live Video Intelligence. Never Miss the Moment. 🦉

We spent a day building a multi-camera rig for a single skateboarder. To train AI that judges action sports honestly, we don't start with the AI.

Andy Macdonald at YMCA Mission Valley, San Diego. Tricks landed across four hours, captured at broadcast frame rate across a multi-angle camera array. Every trajectory labeled at the frame level to become training data for OWL's 3D trajectory model.

Apex height. Air time. Entry angle. Spin axis. Body-board orientation through compression. Every measurement that's traditionally been judged subjectively in action sports is now a labeled signal.

Andy isn't being measured. He's the standard. The model learns from the way he defines a clean trick.

The judgment problem in action sports has always been that the cameras see what athletes already know. To close that gap, you start with the athletes.

We don't measure pros. We learn from them. 🦉

Meet the founder of Owl🦉

Jeremy Bloom has had a few lives before this one. He skied in two Olympic Games as one of the best moguls skiers in the world. He was drafted into the NFL. He founded Integrate, a B2B marketing company, and spent more than a decade building it.

Through all of it, he kept noticing the same pattern: what separates elite from truly exceptional usually isn't talent. It's information: what an athlete sees between reps, what they measure, what they learn from it. And the tools built to surface that information haven't kept up with the athletes using them.

So he's building the one that never blinks.

Today, Jeremy is building Owl alongside Olympians, pros, and the people who actually push the edge, because the tools that decide the close calls deserve to be built with the people living inside them.

What's a call you think could've gone either way? Tell us in the comments👇

→ www.owl.ai