Wafers in, working devices out — the same day. It is operating now at FAB 107, and it is the engine behind hardware that improves at closer to AI speed. Come and see it.
Today's AI improves through software. Models get better. Data gets better. Training gets better. But the hardware underneath is largely fixed — it changes every few years, every process node, every product generation.
Not every few years. Not every process node. Not every product generation — but every iteration cycle. That is the question this company exists to answer.
What happens when hardware becomes part of the learning loop?
The strategic asset is not any single chip. It is a system in which hardware participates in the learning process — each cycle improving on the last, with people in control throughout.
Perform. Hardware performs a task.
Measure. Results are measured.
Propose. Improvements are proposed; people approve them.
Manufacture. Improved hardware is built.
Repeat. The improved hardware runs the next cycle.
Without fast manufacturing, the loop is too slow to matter. With same-day manufacturing, it becomes practical. So same-day manufacturing is not the product — it is the enabling infrastructure that makes hardware learning possible.
This runs today at FAB 107 — our blueprint facility in Burton-on-Trent. Its purpose is to run and prove the loop — production happens at the facilities franchised from it. It is the original working facility, and the model the rest are built from.
How same-day manufacturing works →This is not a roadmap or a research proposal. The system is running now. Here is what already exists:
An operational fabrication facility in Burton-on-Trent.
Wafers in, working devices out — the same day.
The Centian Loop® running: measure, propose, authorise, fabricate.
Granted worldwide, from 114 total filings across 17 families.
Registered trademarks protecting the brands and devices.
A decade of deliberate, deep-tech development.
As manufacturing capability grows, the number of possible design choices becomes enormous — different materials, devices, memory structures, architectures and process combinations. AI becomes valuable because it helps decide which experiment should happen next. It does not replace engineering; it helps navigate an increasingly large space of choices, based on measured results.
Each wave of technology makes the layer beneath it abundant — documents, then websites, then code, now intelligence itself. When something becomes abundant, value migrates to whatever remains scarce.
The system has produced specific device technologies that reinforce one another — independent multipliers that reduce system complexity from several directions at once. They are examples of what the framework discovers and improves, not the main story. The main story is the system that finds and improves such technologies.
AI proposes. People approve, modify or accelerate. Fast progress, kept in human hands.
A demonstration is worth your time if you are:
Probably not the right fit if you want:
If you are not sure, come and see it anyway — the demonstration makes the fit obvious quickly.
Watch the Centian Loop® run. See same-day fabrication at FAB 107. Discuss franchise deployment. A private demonstration for qualified organisations.