Not through self-report. Not through surveys. Through the patterns people cannot see in themselves — observable, falsifiable, and programmable at scale.
A cognitive classification engine — trained on the Objective Personality System — that observes a person and returns a structured, machine-readable type. Not a survey. Not a self-report. An external, observer-based classification that holds up to scientific scrutiny.
The output tells you how someone processes information, makes decisions, what they need, what drives them, what they unconsciously fear, and where they're most likely to struggle — more accurately than they could tell you themselves.
Exposed as an API. Any product — government agencies, marketing personalisation at scale, content production, sales intelligence — can call it. You know who you're talking to before they tell you anything.
Obsessed with one question since childhood: why do people see different things in the same data? Read everything — Jung, clinical psych, philosophy of mind. Found OPS in 2018 because it was the first framework rigorous enough to take seriously.
The career has been deliberate. Built a company to prove he could sell. Went into personality AI specifically to understand what this space looks like when productized.
If you've spent years unable to stop thinking about why people are the way they are — why two people see completely different things in the same data, why self-knowledge is so elusive, what the actual mechanics of behaviour look like underneath the surface — we want to talk to you.
We're building across ML research, computational psychology, and full-stack engineering. What we care about is hunger, precision, and the kind of intellectual restlessness that keeps you pulling at a problem long after a reasonable person would have moved on.