Wake, our consumer swim app, runs on the Wake Intelligence Platform. A swimmer uploads a stroke video and gets one screen for it with two tabs of analysis. The Language Model Intelligence tab shows Gemini's written read of her stroke and coaching. The World Model Intelligence tab, where our own video model will name the correction, gets it from a backend change that is being merged now; until then that tab stays empty. One tap adds a suggested drill to her month of workouts, and when a video finishes processing, “Your swim is ready” appears in her in-app chat. She can also set her own goal and preview what Wake will weigh. The beta runs on our staging environment. Swimming was simply the first domain we pointed the platform at: a full-body, signal-rich proving ground for its core idea.
What a swimmer sees isn't another dashboard of numbers — it's what is happening in her stroke, why, and a drill to fix it. That is what we build for a business: the same engine, pointed at your signals and your use case.
Ask for a beta invite to see what "actionable intelligence from raw signals" looks like for an end user — then picture it applied to your business.
wakeai.app opens in a new tab so you can come back here when you're ready to talk about your use case.
wakeai.app is the swim app's site; its Beta-Testers page explains how to ask for an invite.