How it works
A decision-calibration engine, not another data score.
Anthrocentrix™ reads a real decision and identifies the specific human factor most likely to drive or distort the call — the bias, the pressure, or the posture the data doesn't see, in the field's own terms — applies a fixed proprietary structure, and scores its read against a generic-AI baseline and the actual outcome. Cases is where that read gets tested — case by case, head to head.
Grounded in decision science and behavioral economics, and built into a proprietary model that's tested against real outcomes — not a chatbot's guess.
What Anthrocentrix does on every case
- 1
Reads the real decision
Not the data feed, not the model score — the decision as it actually lands on the person making the call, with the context, pressure, and options they see.
- 2
Names the human factor most likely to drive it
Identifies the specific driver or distortion most likely to move the call — the bias, the pressure, or the posture the data doesn't see, named in the field's own terms.
- 3
Applies a fixed proprietary structure
The same disciplined structure runs on every case. What it evaluates and how it weighs the signals is patent-pending and not exposed here.
- 4
Scores against a baseline and the outcome
Every read is put next to what a generic AI would recommend from the same evidence, and — where the domain resolves cleanly — checked against what actually happened.
What it is not
- Not a personality test or a profile of you.
- Not a data score for the transaction, alert, deal, or case.
- Not a generic LLM prompt — it reads the human factor a generic LLM is blind to.
See it work
Cases runs one case at a time and shows three reads side by side — the unaided human, a generic AI, and Anthrocentrix — against the actual outcome.