Adaptive Continual Intelligence.
A new category of intelligence.

ACI, Adaptive Continual Intelligence, is a new category of intelligence, created by Vareon. ACI is intelligence that keeps learning and acting while your work happens. It builds on everything it learned before, and works in tandem with the AI models you already use. ACI is the result of years of research into neural nets and their trilemma: plasticity, stability and editability. Duplex is built on it.

AI models learn before they are released, and then stay as they are. ACI learns and acts after: at runtime, from your work, for as long as it runs. It learns your work rather than the world, it builds on everything it learned before, and what it learns is yours. Intelligence that keeps learning and acting at runtime, beside the model, is a category of its own.

In tandem. The model brings general intelligence: knowledge, language and reasoning. ACI brings what it learns from your work. It handles what it already knows, and brings in the model, briefed, for what is new. The model stays as it is, and you can switch models without losing what ACI learned.

AI that learns on the spot from one confirmed result, acts on what it learned within your rules, follows a new rule from the next request, gets faster and cheaper as it learns, knows when to bring in your model, handles cases it has never seen, acquires skills of its own, and belongs to you, wherever you work.

Until now, only the labs that train models could make AI learn. With ACI, every person and every company has AI that learns from their own work, and owns what it learns. What it learns compounds with every result, stays in the placement you choose, and is yours whichever model you use.

Duplex is built on ACI, and ACI is the intelligence in it: everything Duplex learns, decides and does at runtime is ACI at work. Duplex is the product you use, inside the assistants your team works in and inside the agents your company builds, through MCP + hooks.

ACI is the result of years of research into neural nets and their trilemma: plasticity, stability and editability. Plasticity is learning the new, fast. Stability is keeping what it knows. Editability is changing what it learned. A neural net gets two at best: learn fast and it forgets, hold it steady and it stops learning, and what it learned is spread through all of it. ACI holds all three.

Faruk Guney built ACI, Duplex and his new startup on his own, after years of research into the trilemma of neural nets and more than fifteen years growing Norck into a global on-demand manufacturing and engineering company.