In tandem with AI models.
Two kinds of intelligence, one system.
Your AI model brings general intelligence, learned from the world. Your autonomy stack brings the skills it was built with. ACI brings Adaptive Continual Intelligence, learned from your work. Paired with your AI model, it is MS Duplex. Paired with your autonomy stack, it is MS Reflex.
Two kinds of intelligence.
Your model learned the world slowly, before you arrived, and generalises to almost anything. ACI learns fast, from each result your work confirms. The brain pairs its two learners the same way.
Cognitive science calls the pair complementary learning systems.
With your AI model, each does what it does best.
In MS Duplex, ACI answers what it has learned, in milliseconds and with no model call. What is new goes to your model, briefed with what ACI knows. The result comes back, and ACI learns from it.
Step 1 of 4: Familiar work
Work ACI has learned is answered at once, with no model call.
With your autonomy stack, each does what it does best.
In MS Reflex, ACI decides what it has learned, on the device, and every command passes the gate. What it does not know, it defers to your stack or your operator. What they do next teaches it.
Step 1 of 4: A known move
A move ACI has learned is decided on the drone, and the command passes the gate.
Your model and your stack stay as they are.
ACI learns beside your model or your stack, so a change in your work needs no training run and no new version.
Step 1 of 4: A change
A change in your work reaches the very next request, and your model stays as it was.
To the next model, and the next machine.
In MS Duplex, move to another model, agent or app, and what ACI learned comes with you. In MS Reflex, a skill learned on one machine can be shared with others like it, when you choose.
Step 1 of 4: A new session
Put intelligence that keeps learning to work.
Start with MS Duplex in the assistant you already use, or plan an MS Reflex pilot on your machines. Either way, what it learns is yours.