A new class of AI.
Trained on human visual cognition. Built to predict what a real user will see, understand, and decide — before they act. The first commercially deployed Visual Perception Model.
Because the VPM exists, human on-screen behavior can now be simulated with accuracy — not just clicks and keystrokes, but the perception, hesitation, comprehension, and decision underneath them. That capability did not exist before.
We’re not building a better usability tool. We’re building the model that the next generation of UX tools will run on.
LLMs took a decade to commoditize. The Visual Perception Model is at the start of the same arc. The first product on it is shipping now.
Every other AI in this category processes a screen.
The VPM models the mind in front of the screen.
LLMs were not better search engines.
They were a different kind of object. They predict the next token of language. The architecture, the training data, and the output are categorically different from the information-retrieval systems that came before them — even when both can be pointed at the same task.
The VPM is not a better computer-vision system. It predicts the next act of interpretation a human will make on a given visual surface. The unit of prediction is different. The training data is different. The output is different.
The bottleneck in UX measurement for thirty years has been the same: you can simulate a click, but you cannot simulate a perception. Eye-tracking labs sample a few users at high cost. Computer-vision tools identify shapes. Neither tells you what a real user understands about the screen in front of them. The VPM does.
Three pillars.
The VPM didn’t start as a product.
It started with mental models for U.S. Navy operators in the Combat Information Centers (CIC) of Ticonderoga-class Aegis cruisers, at the Space and Naval Warfare Systems Command (SPAWAR) in San Diego — programs like TADMUS (Tactical Decision Making Under Stress) and the DEFTT (Decision Evaluation Facility for Tactical Teams) lab, studying how trained operators interpret high-density tactical displays under time pressure, where a missed contact is not an abandoned shopping cart.
That work continued through academic foundations in UCSD’s Department of Cognitive Science and the Human Information Processing program in Communications. Three decades later, the same lens that helped a CIC operator find the right tactical contact on a packed display now helps a real user find the right action on a cluttered checkout page.
The interface changed. The cognition did not.
One model. New capabilities.
You get a working behavioral simulator. Feed it any persona, any task, any URL — it hands back a step-by-step play-by-play of what happens: which page the persona abandoned at, where they got lost, what specifically blocked them, and how long each step took.
Want to know more?
For Benchmark customers, partners, investors, and press — Npire is the studio that built the VPM. Reach out and we’ll send you the deeper brief, the methodology disclosure, and the roadmap.