Why we started Arkometry
The busiest hour of a café is the one it is least staffed for. We started Arkometry to build AI for that hour — and to prove it on a real floor before it ever meets a guest.
Stand behind a café counter at 8:15 on a weekday. There is a queue three deep, a phone ringing that nobody can reach, an order being repeated for the second time over the noise of the grinder, and someone at the door working out whether the wait is worth it.
Nothing about that hour is a technology problem. It is simply more demand than the people on shift can absorb. That hour is why we started Arkometry.
The hour that costs the most
Every business with a counter has one. It is the hour that sets the day's takings, and it is also the hour where things quietly go wrong:
- The call that rings out is a booking, an order, or a question — and the person who made it tries somewhere else.
- The order heard wrong at a three-deep counter comes back as a remake. The food, the time, and the goodwill all go out with it.
- The queue at the door widens without anyone noticing, and the people who walked off are not coming back tonight.
None of these appear on a report. They are absorbed, shift after shift, as the cost of being busy.
Build for the floor, not the demo
It is not hard to make AI take an order in a quiet room. It is hard to make it work at 8:15, with background noise, a regular who orders in shorthand, a substitution halfway through, and a queue that will not wait for a second attempt.
So we build the other way round. Our products get shaped to a venue's menu, slots, and rules, then run in shadow alongside the team — taking nothing live, while you see every order they would have taken and we fix what they get wrong. Only then do they take a real order, starting in the quiet hours and working up to the rush.
That sequence is the whole product philosophy: nothing meets a guest until it has earned it.
What we build
Three products are live today. AI that takes orders at cafés and restaurants, which is where most of our attention goes. AI that handles appointment booking end to end. And a ticketing system that turns a crush at the door into an orderly queue with a wait people will actually accept.
Three more are in development, including the runtime the others sit on. We say which is which, everywhere, because a product you cannot buy yet should never be described as one you can.
What comes next
We will use this space for what we learn on real floors — what worked, what didn't, and the occasional thing we had to pull back out. If your busiest hour is costing you more than it should, we'd like to hear about it.