Don't worry about gas lines or shop space or even finding someone with roasting expertise. Instead, imagine a headache-free experience. Visualize yourself roasting specialty-grade green coffee to near perfection — on site, in your store, as much as you will ever need. The coffee always fresh, always ready.

Let's call it your Coffee Independence Day. What would it mean for you to be able to offer a more diverse selection of fresh beans of your choosing, roasted the way you want them roasted, with precision and purpose?

How would it change your business?

A creative approach to roasting fresh.

In-house roasting is a barista's dream, and would offer specialty coffee shops substantially more flexibility and freedom with their flavors. Not to mention the potential cost-savings.

In-house roasting, as currently practiced, doesn't make sense for most businesses. Gas-powered medium-batch size roasters in the 3-5kg range remain the standard go-to move. Unfortunately, these machines are huge and unwieldy — and gas is an environmentally un-friendly hassle that is already illegal in some cities, with more soon to follow.

And then there is the biggest problem, that of time. Roasting great coffee on these traditional machines requires extensive training — and many hours spent babysitting each and every roast in order to guarantee consistency. Whatever cost-savings you may dream up while looking at green bean prices are inevitably eaten up by the problem of time.

But in 2021, we have the technology to change things.

First: the AiO isn’t for home hobbyists. It is not a 2kg version of our home roaster, the Bullet R1. For a detailed explanation of the differences between the two, please take a look at this deep-dive into the two machines.

This is a professional, industrial-strength roaster capable of roasting coffee in large volumes. It was designed with busy cafes in mind, but we also see this technology merging seamlessly with the blossoming micro-roastery movement.

The first manufacturing runs of the AiO will be limited in number, and we want the most meaningful feedback from the busiest users before we push the machine into mass production in 2023, so we will be hand-picking the very first users.

If you are interested in becoming one of our potential early-adopters, the first step toward purchasing the AiO is subscribing to our newsletter.

As more and more users begin using the AiO system, it will become even smarter. That's because we can begin leveraging the data it collects with machine learning and artificial intelligence.

Because the AiO's sensors are capable of capturing so many different data points, it becomes possible to map those inputs and generate predictive outputs, through the magic of neural networks.

If that all sounds complicated — well, it kind of is. But simply put, the AiO is essentially making decisions by weighing evidence it has collected over time.

For instance, on a local level, we can use AI to automatically adjust for small variations between your machine and the 'mean' performance of all connected AiO machines. Everyone's roasting setup is unique in some small ways — local ambient temperature, humidity, and altitude all play a role — but these can be factored into the AiO's performance tweaked to approach the mean, making the automatic playback of other people's roasts — or even your own under changing circumstances — even more accurate.

In addition to consistent roasting, AI can assist roasters in myriad other ways.

It can answer some important questions, both for beginners and advanced users:

1. When exactly will I need to order more of a particular green bean to keep up with customer demand?

2. What temperature will my beans be at a certain time in the roast if I continue the roast without adjusting the power or fan settings?

3. How will changing the power setting of a given roast recipe alter the curve of the roast profile?

When you're running a business, you want a machine that is reliable, easy to maintain, and simple to service. Because the AiO is modular in design, it is easy to access parts in need of attention, or replace them if need be. This is a huge benefit for users seeking technical skills — there is nothing scary about maintaining an AiO.

But there is more going on here than modularity. When we developed the Bullet, we designed it to collect data - not just typical roasting data, but also debugging data - to measure performance and if service is required, to assist in troubleshooting diagnostics. This data has allowed us to provide much better support for customers.

The AiO similarly collects debugging data, but far more of it, and we can use it in a much smarter way.

On the maintenance side, we're able to measure the performance and energy usage of each individual component, to help you schedule health checks and cleanings as necessary.

On the servicing side, we can can simplify the troubleshooting process should any problem arise. All inputs and outputs are measured, logged and moved. We know how sensors are supposed to measure accurately. Because we are able to deep dive into the health of individual components, you'll always have a sense for how well your machine is running.

As a simple example - the drum has a sensor to measure the RPM, but the motor that drives the drum also provides this signal. If the drum is not turning, but the drum motor is, then we know the problem is with the mechanical coupling and belts, and the AiO will let you know this. If both of these sensors fail, we can measure the power the motor is using, and use this as an indication that the unit is running. We can't tell you exactly what part has failed, but we can tell you where to look, and we can also help determine just how smooth the machine is running - and when it's time for maintenance.