We built Waitly because we couldn’t stop seeing the same problem from both sides.
Three founders. Four decades of building AI in healthcare. One belief — that empty chairs and waiting patients shouldn’t keep missing each other.
When you need care, time isn’t on your side.
Each of us has been the patient. The parent calling around for a specialist who can see your kid this week. The friend trying to fit a procedure between a job change and a baby’s due date. The person who’s been told the next opening is six weeks out and just hangs up — because what else are you supposed to do?
We’ve been on the phone. On hold. On waitlists nobody seems to actually be working. And every time, we’d hang up thinking the same thing: someone, somewhere, just had this slot. Why couldn’t we find each other?
That gap — between an open slot and the patient who needs it — is where lives get harder than they have to be.
Practices losing 20–40% of their schedule.
For years we worked alongside clinics, hospitals, and specialty groups across every corner of healthcare. The same pattern, everywhere: cancellation rates between 20% and 40%. Front desks calling down a waitlist nobody trusted. Providers staring at empty chairs while real patients sat on a list, still waiting.
The math just didn’t add up. Demand was sky-high. Supply was sitting there empty.
These weren’t bad operators. They were running a coordination problem too big for any number of phones. The systems they’d been given couldn’t see the whole picture in real time — so the picture kept slipping.
“Empty chairs and waiting patients are the same problem. They should be a solved one.”
The bridge between the two sides.
We built Waitly to be the thing we wished existed when we were the patient — and the thing we wished we could ship to every clinic we walked into as operators.
It runs quietly in the background. It watches schedules. It works the waitlists, the referrals, the unscheduled treatment, the lapsed care. It calls and texts in the patient’s language, at any hour. It pairs the right person to the right opening, in real time — and waits for confirmation before it moves on.
Patients get seen sooner. Clinics fill the chair. The math finally works for both sides.
Four decades of AI. All of it in healthcare.
Between the three of us, we’ve spent forty years building AI systems inside healthcare. We’ve shipped products trusted by thousands of practices, hospitals, and clinical operators across our prior ventures.
Every one of those products taught us the same lesson: in healthcare, the technology has to disappear. If it gets in the way, nobody uses it. If it works, nobody talks about it — they just start trusting it.
Waitly is built that way. Quiet. In the background. Doing the right thing for the patient and the practice without asking either of them to think about us.
We’re just getting started.
Healthcare’s schedule shouldn’t be a coordination problem. It should be a solved one — and we’re committed to building the rest of the way there, in service of the patient who needs to be seen and the clinic that’s trying to see them.