Models for human attention. The gap in your AI stack.

Human attention is what a person actually does to complete a task: which object they opened, in what sequence, and what they returned to before deciding. It is the largest data source in the enterprise and the only one no system records. Our models capture it on the endpoint and turn it into a structured dataset of how your processes actually run — one no vendor can sell you and no competitor can replicate.

We turn human attention into a structured dataset of how work actually gets done — defined processes and the ad hoc work around them — from capture on the endpoint to a finished artifact, at a scale, cost, and accuracy no one else can currently reach. Every step of the work is accounted for: the paths a process actually takes, the rework, and the exceptions no system of record holds. And the whole pipeline runs without raw attention data ever leaving the device.

Deployed today in Fortune 500 companies through our implementation partners, who embed the attention layer in their own products.