AI that watches the game and calls every shot.
ataraxy builds real-time computer vision for sports video. Point a camera at the court and every shot is detected, tracked and called as it happens: makes, misses, trajectories, scores. Live from a camera or from uploaded footage. Built on your infrastructure, owned by you.
Game film doesn't watch itself.
Every week, coaches and analysts burn hours tagging footage by hand. The stats arrive late, incomplete, or not at all.
Video is the richest data a sports organization owns, and most of it goes unwatched. Manual tagging is slow and expensive, so it only happens for the games that matter most. The big sports-analytics vendors will do it for you, but you pay per game, per season, forever, and the models, the data and the pipeline all stay theirs.
The winning move is a vision system of your own: cameras you already have, models tuned to your sport, an API your product and your staff can call. Every game watched, every shot counted, and the whole engine belongs to you.
Eyes on the ball, every frame.
One vision engine that detects the ball and the rim, follows the trajectory, and calls the outcome the moment it happens.
Every make and every miss, called live
Detection models trained for the court find the ball and the rim in every frame, and a shot classifier calls the outcome. Makes, misses and scores land in your feed seconds after they happen on the floor.
It follows the ball, not just the frame
The engine tracks the full arc of every shot across frames, through hands, bodies and bad angles. That trajectory is what separates a real attempt from noise, and it is how the classifier knows what actually happened.
From camera to call in under a second
A streaming pipeline takes compressed video straight from the camera over WebSocket and processes it frame by frame as it arrives. No upload-and-wait: the game and its stats run on the same clock.
An engine, not a notebook
This is not a demo that dies outside the lab. Authenticated API, rate limiting, structured logs, Prometheus metrics, batch queues for full-game uploads, and an accuracy review UI to keep the models honest. Built to run every game night.
How the engine sees.
Stream, track, call. Live camera or uploaded footage, same brain.
Stream
Video comes in live from a courtside camera over WebSocket, or as full-game files through the batch queue. Same pipeline either way, so accuracy in the lab is accuracy on game night.
Track
Frame by frame, detection models find the ball and the rim while the tracker stitches detections into trajectories. Every arc toward the basket becomes a candidate shot with a full flight path.
Call
The classifier rules on every attempt: make or miss, plus running score. Results stream out as structured events your app consumes over the API, with annotated video when you want the receipts.
You own the engine.
Not a per-game subscription to somebody else's black box. We build it, you keep it.
Runs where you run
The engine deploys on your own cloud with GPU when you need throughput. Your footage is processed on infrastructure you control, and cleanup policies mean video never lingers longer than it should.
Plugs into your product
Everything the engine sees is available as clean, structured events over an authenticated API and WebSocket. Feed a live scoreboard, a coaching dashboard, a fan app, or all three at once.
No per-game meter running
A fixed build, then it is yours. No per-game fees, no per-season renewals, no vendor holding your own footage hostage. It keeps running whether or not we are in the room.
Your footage, your models, your stats
The models are tuned on your context and handed over documented, with an accuracy review workflow so your team can keep them sharp as conditions change. Nothing about how it works is a secret to you.
Built for the court. Ready for any camera.
Basketball is where we proved it. The same engine learns whatever your cameras watch.
If a camera can see it, the engine can call it.
Shots at a rim are just events in a video stream: an object, a trajectory, an outcome. The same pipeline that calls makes and misses can call goals and saves, serves and faults, reps in a gym, vehicles in a lot, or safety events on a factory floor.
If you have cameras and questions they should be answering, that is exactly the kind of system we build: detection tuned to your world, real-time when it matters, delivered on your infrastructure and owned by you.
Part of your whole motion.
Sports Vision stands on its own, and it connects to the rest of what we build.
Begin with an AI Sprint
Want vision on your own footage first? Start with a fixed-scope Sprint: your cameras, your sport, a working detector in weeks, then scale into the full engine.
Explore the service → sprint.ataraxydigital.comBring in a Fractional CAIO
Have an AI executive run the vision roadmap and the rest of your AI strategy across the company, without the full-time hire.
Explore the service → caio.ataraxydigital.comAdd a Revenue Engine
Pair the product with pipeline. An AI revenue engine that finds accounts showing intent and reaches the right person in their own language.
Explore the service → revenue.ataraxydigital.comPut eyes on your game.
A 30-minute call. Bring the footage or the cameras you already have; we'll map what a vision engine can see for you, and scope a fixed price before you commit to anything.