Behavioral intelligence is the structured understanding of how people actually act — their choices, attention, and intent in real contexts. It's the missing layer between raw content and models that reason like humans. Trained on behavioral data, modern models move beyond predicting the next token to understanding the person behind it.
Behavioral signals teach models how people actually decide — adding real-world nuance raw text can't.
Models learn intent and preference patterns, so outputs feel relevant instead of generic.
Pairing behavior with context lets models adapt to the moment, not just the prompt.
Human-verified behavior anchors predictions to reality, reducing confident-but-wrong answers.
Two layers work together — what people do, and the circumstances they do it in.
Signals from genuine interaction — consented and stripped of identity.
The environment that gives behavior meaning — never tied to a person.
Two capture forms, two kinds of intelligence. Drop your images in and describe what each produces.
Explain your first form here — what the user sees and does.
Explain your second form here — what is observed in the flow.
Behavioral intelligence is built to respect privacy by design — it captures patterns, not people.
Every signal is collected only with explicit, informed opt-in — nothing is taken silently.
No PII, no cookies, no cross-site tracking. Behavior is decoupled from who you are.
Signals are aggregated with k-anonymity so individuals can't be re-identified.
GDPR, CCPA, and data-residency ready — with the right to review and delete at any time.
How human intelligence is formed, and how it reshapes industries.