Under construction

Direct Control. No Black Box.

A control system that runs every operation in your company from one place, so you can scale to a hundred sites without hiring a hundred managers.

Representation – not representative of the final product

Have you heard of Applied Energistics 2? It's a famous Minecraft mod that connects every chest and machine in a base into one network. A big modded base can hold billions of items and thousands of machines, and AE2 runs all of it automatically. We're building the same kind of system for the real world, to run automatic factories, research labs and anything else that runs on a method.

Representation – not representative of the final product

Most companies stop scaling long before they run out of ideas.

Every new site, product line or market needs more people who know how things are done, and that know-how mostly lives in their heads. So growth means hiring, training and hoping the tenth plant runs like the first. The coordination gets harder faster than the company grows. The mine doesn't hear what the refinery needs until a week later, and trading finds out about a supply problem after it's already cost money.

We're building systems that run everything from one place. Each operation's method is written down as rules a machine can follow, and every operation is linked to the others, so a change in one reaches the rest in minutes. A goal set at the top gets split into tasks, and each task knows what it's waiting on and who it hands its result to.

Writing the method down is what makes it copyable. A method that runs one plant well can run fifty, without fifty plant managers learning it from scratch, and every copy does the same thing for the same reasons. That's harder than it sounds, because a senior engineer's judgment is full of things they've never had to put into words. A lot of our work is getting those reasons out and turning them into checks a system can run, and this is where philosophy earns its place. Philosophers have spent centuries asking what counts as evidence and what makes an argument sound, and their answers turn out to be very practical once you have to write them as code.

Fixes scale the same way. When something goes wrong at one site, you can see every step the system took and the rule that allowed it, and fixing the rule once fixes it at every site. A company run like this gets easier to manage as it grows, which is the opposite of how it usually goes.

Research is one more operation in the network. When a site hits a problem nobody has solved yet, the system reads what's known, plans experiments, runs them and sends the answer to every site that needs it.

Representation – not representative of the final product

Over time the whole thing becomes a loop. Every site that runs a method makes it sharper, every new site starts from the best version so far, and more and more of the company runs itself, the way an AE2 base does once everything is wired into the network.