Our mission is to make AI effortless to reach wherever work happens: one layer connecting any AI to your tools, your day, and the hardware ahead.
If we succeed, this technology could hand a working day back its hours: what arrives gets answered, what finishes gets filed and followed up, and what was agreed stays findable, without anyone moving anything by hand. We can imagine a day that quietly closes its own loops, with the person free to do the work they actually chose.
There is also an obvious way for a company like ours to go wrong: locking people in, shipping a device before the software deserves one, claiming more than it has measured. Because the value of handing work over rests entirely on trust, we think we have to get the order right, and be explicit enough about it to be held to it.
Although we cannot predict exactly which tools people will ask for first, and of course our plans could change, we can articulate the principles we care about most:
We want handing work to Heyno to feel as safe as handing it to a colleague. It should come back done the way you would have done it, and hold up when you check, on the thousandth quote the way it did on the first.
We want the benefits of this to reach people through the AI they already use. Heyno connects to any AI, and our mission holds even when the AI is not ours.
We want leaving to stay cheap. Nothing accumulated in Heyno is a hostage; walking away should never cost you what you have built.
What we are doing now
There are several things we think are important to do now.
First, we are building as many tools inside Heyno as we can and connecting it to as much of what a working day touches: hiring for one business, finance for another, often something we had not considered until a user asked for it. We believe a tight feedback loop of people asking and us building is the best way to find the real shape of the work; most predictions about what a business needs have been wrong so far, and usage teaches faster than planning in a vacuum. This is why we move quickly in this phase: there is a lot of ground to cover, and every request is a map of where the day still leaks.
Second, we are working towards an assistant that remembers. Context that does not survive from a call to a document to a meeting is not context, it is a session. Carrying what matters across weeks, like the pricing exception agreed in April or the customer who prefers to be called after four, is what separates a colleague from a very fast stranger.
Third, we want Heyno to stay open at both edges. Through MCP, the AI you already use can reach what Heyno holds for you, and Heyno can reach whatever your business runs on. We believe people should keep the AI they like; asking them to abandon it in order to adopt a workspace is a trade we are not willing to offer. We would rather be the place your work lives than the only model you are permitted to use.
“We would rather be the place your work lives than the only model you are permitted to use.”
As more of the week runs through Heyno, we are becoming increasingly careful about reliability; an assistant that is almost dependable is not dependable at all. We will consider this phase finished when a small business can run an ordinary week, interruptions and all, inside Heyno without opening a second application and without giving up the AI they already like.
What we are preparing for
We believe the last unsolved part of this problem is presence. An assistant reachable by phone and by chat still requires you to go to it, and the hours that need it most, on a roof, between rooms, or in front of a customer, are exactly the hours software has served worst.
We do intend to build hardware, and we are deliberately not naming the device. It might be a very different kind of monitor; it might be a very different kind of glass; it might be something that does not exist today. We cannot predict its final shape, but we can articulate the standard it has to meet: hear correctly in a noisy place, know when it is being spoken to, answer fast enough to feel native, and stay quiet the rest of the time. A device that interrupts is worse than no device at all.
Today’s hardware is not there yet: batteries do not last the day they are meant to serve, displays are not yet rich enough to carry real work, and a device capable enough to matter is not yet small enough to forget. We expect these curves to keep improving with or without us, and we think it is better to be finished with everything else by the time they cross the line. A gradual path, software first and the device when it is ready, gives the assistant time to earn the place the device will occupy.
The order matters because a device is only as good as the layer behind it. Attached to a thin assistant, any device is a novelty; attached to something that already knows your calendar, your customers, your prices, and what was agreed on Tuesday, it is a different object entirely. The order is not a preference; it is a dependency.
“The order is not a preference; it is a dependency.”
We also think how a company grows should be visible enough to be judged, so we are writing down what we will not do. We will not ship a device for show. We will not build an ecosystem that makes leaving expensive. We will not publish a capability claim we have not measured, without the method beside it.
Success is far from guaranteed, and none of this is a schedule. But we can imagine a working day that quietly runs itself, with the person free to do the work they actually chose, and we hope to contribute exactly that.